DEPARTMENT OF MATHEMATICS AND STATISTICS
Undergraduate Assessment and
Graduate Assessment in Statistics
|
III. Changes to
Procedures or Curriculum Based on Assessment |
|
|
II. Achievement
of Departmental Objectives for Students A. Undergraduate-- |
A. Outcomes
assessed
1.
The “Core”: The following classes are the ones most
often taken by students in their core. As a result, emphases on assessment have
been placed on these courses. Note: CCS = Course Content Standard. For all
classes retention and overall success rates are of immense importance to us as
we strive to reduce withdrawal rates in all of these classes to less than 20%
and increase successful completion rates of the retained students to at least
75%.
o
MATH 1101
The following CCSs were assessed both Fall and
Spring semesters.
1. CCS
3: Linear Functions.
Students will demonstrate the ability to:
a. Determine when two real-world variables are
related by a linear or piecewise linear function.
b. Model the behavior of two real-world
variables that are directly proportional or are related by a linear or
piecewise linear function using tables, graphs, equations, or combinations
thereof.
g. Define the linear function and the general
equation of the linear function.
2. CCS 4: Exponential Functions. Students will demonstrate the ability
to:
a. Determine when two real-world variables are
related by an exponential function.
b. Model the behavior of two real-world
variables that are related by an exponential function using tables, graphs,
equations, or combinations thereof including such applications as population
growth and decay, radioactive decay, simple and compound interest, inflation,
the Malthusian dilemma, musical pitch, and the Rule of 70.
e. Evaluate exponential functions.
f. Determine the exponential equation model
from the table or graphical model.
3. CCS5:
Logarithmic Functions.
Students will demonstrate:
a. The ability to determine when two real-world
variables are related by a logarithmic function.
b. The ability to model the behavior of two
real-world variables that are related by a logarithmic function using tables,
graphs, equations, or combinations thereof including such applications as pH
and the decibel system.
c. Their understanding of the natural logarithm.
4. CCS 6: Polynomial and Quadratic Functions. Students will demonstrate
the ability to:
d. Determine when two real-world variables are
related by a quadratic function by
calculating the average rate of change of the average rates of change.
e. Model the behavior of two real-world
variables that are related by a quadratic
function using tables, graphs, equations, or combinations thereof
including such applications as maximum area for fixed perimeter, minimum
perimeter for fixed area, free fall, maximum profit, and break-even analysis.
f. Determine the vertex, axis of symmetry, and
horizontal and vertical intercepts of quadratic functions in either the a-b-c
or a-h-k forms.
o
MATH 1111
Fall
1.
CCS 2:
Understand linear functions and be able to identify, graph, and find equations
of linear functions (including parallel and perpendicular lines).
2.
CCS 4:
Understand, identify, graph, interpret and apply the following in applied
settings. Specifically,
·
quadratic
functions of the form y =
- determine the
vertex and intercepts.
·
Polynomial
functions where the polynomial is factorable.
·
Exponential
functions of the form y =
and their
transformations.
3.
CCS 5:
Determine, both algebraically and graphically, solutions to the following types
of equations and apply these solutions to concepts related to functions and
other applications: Quadratic
Spring
1.
CCS 1:
Understand the general definition of a function and be able to:
·
Illustrate
a function verbally, graphically, with charts/tables, and with set notation
·
Determine
the domain and range of a function
·
Identify
where a function is increasing, decreasing or constant.
2.
CCS 4:
Understand, identify, graph, interpret and apply the following in applied
settings
·
Quadratic
functions of the form y =
§ Determine the vertex and intercepts.
·
Polynomial
functions where the polynomial is factorable.
§ Students will be able to describe
the end behavior of polynomials and the relationship between end behavior and
the degree of the polynomial.
§ Students will be able to determine
intercepts of factorable polynomials exactly.
§ Students will be able to use
appropriate technology to approximate x-intercepts and local extrema of
polynomials.
·
Inverse
functions
§ Get a rule for an inverse function
§ Graph a function and its inverse
·
Exponential
functions of the form y =
and their transformations.
·
Logarithmic
functions
§ Define a logarithm
§ Convert between logarithmic and
exponential forms
§ Understand the inverse relationship
between logarithmic and exponential functions
3. CCS 5: Determine,
both algebraically and graphically, solutions to the following types of
equations and apply these solutions to concepts related to functions and other
applications:
·
Factorable
polynomial
·
Simple
exponential equations
o
MATH 2211
Both Fall and Spring:
1. CCS 6B. Differentiation. Students
will demonstrate an understanding of the derivative at a point, derivative
functions, and related concepts.
2. CCS 8A. Applications. While applying
analytic, algebraic, geometric, and algorithmic techniques to solving applied
problems students will communicate how the problem is modeled by a mathematical
formulation, and how to interpret the result of the mathematical analysis.
Spring only
3. CCS 7B. Integration. Students will
demonstrate an understanding of integration and related concepts including
applying properties of integration related to elementary functions, operations
on functions, and elementary substitutions;
2. The Undergraduate Major
·
General Learning Outcomes
3. Graduate Programs
B.
Elements of assessment
1.
The “Core”
·
Common problems were used on the final exams of each
of the classes listed in (A). Copies of these questions are attached to this
document in Appendix A. Note: 1101 instructors were given the option of
including anywhere from 2 to all 4 problems on their final exam. Of the data
available, only one instructor included all four while the rest selected the
linear and exponential model problems.
·
“DWF” rates for these students will be used to
examine retention and success rates.
2. The
Undergraduate Major
·
General Learning Outcomes
o
Faculty were surveyed about the students who
graduated during the fiscal year (see attached form in Appendix B)
·
Major Learning Outcomes
o
Faculty were surveyed about the students who
graduated during the fiscal year (see attached form in Appendix B)
o
??
3. The Graduate Major
o
Faculty were surveyed about the students who
graduated during the fiscal year (see attached form in Appendix B)
C.
Data collected
1.
The “Core” – Data is in Appendix C.
·
Copies of each student’s work from the final exam
(prior to its being graded by the instructor) was provided to a central person
(course coordinator) for each of the indicated courses. This work was graded by
the coordinator using a rubric they developed and summary as well as individual
class statistics were generated. Copies of the summary statistics for Fall 2004
and Spring 2005 are in Appendix C. Note: Only summary data from Fall is
currently available while only data from 5 of 10 instructors of 1101 in the
spring are available.
·
“DWF” rates (from STATWARE) for these students will
be used to examine retention and success rates.
2. The Undergraduate Major
·
General Learning Outcomes – faculty survey results
(Summary Data in Appendix D)
·
Major Learning Outcomes
o
Survey results (Data in Appendix D)
o
Correlation statistics
o
??
3. The Graduate Major
·
General Learning Outcomes – survey results (Summary
Data in Appendix D)
·
Course specific outcomes assessed (Sample Summary
Data in Appendix D)
D.
Data Analysis
1.
The “Core”
·
MATH
1101
o
Approximately
64% of the students received a grade of 7 or higher on the linear model
problem, while approximately 59% received a grade of 7 or higher on the
exponential model problem.
o
Note:
Two sections of MATH 1101 in the spring were taught with a different text that
had supplemental work from MyMathLab (the software package used in the redesign
of MATH 1111 and MATH 1113). The use of Excel was also a part of these sections
and was used by the students to solve the common problems on the final. Student
performance on these problems is given below:
|
7+ |
Traditional Students |
Redesign Students |
|
Linear |
56.80% |
88.14% |
|
Exponential |
59.22% |
59.32% |
Thus
there was a tremendous improvement in the students’ ability to model linear
data, though there was no real difference in their ability to model exponential
data.
·
MATH
1111
o
Though
student performance on the common assessment elements showed the traditional
students (as a whole) performed better than the redesign students, this
difference was small in most cases. The true impact, however of student
performance is retention of information and the student’s performance in successive
classes. Students will be tracked to determine the longitudinal impact of the
redesign on their performance in future classes.
o
A c2
test for difference of distribution was performed on the grade distribution of
the students in the redesigned sections with the historical distributions in
both fall and spring. Also, a c2 test for difference of distribution
was performed on the grade distribution of the students in the redesigned
sections vs. the traditional sections in each of the particular semesters, with
p-values summarized in the following table:
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Thus,
it is easy to say there was a significant change in the grade distributions for
the students participating in the redesigned sections of MATH 1111 as compared
to the students who took the class under a traditional format, both
historically and during the specific term.
o
A
second object is to have 75% of students who complete the course earn a C or
higher. Historically we have made great gains towards this goal and met the
goal once prerequisite checking was fully implemented in Fall 2003.
|
|
A |
B |
C |
D |
F |
A-F |
AVG |
ABC % |
DF% |
|
Fall 00 |
305 |
351 |
322 |
153 |
203 |
1334 |
2.30 |
73.3% |
26.7% |
|
Fall 01 |
244 |
250 |
244 |
106 |
120 |
964 |
2.41 |
76.6% |
23.4% |
|
Fall 02 |
205 |
301 |
207 |
93 |
139 |
945 |
2.36 |
75.4% |
24.6% |
|
Fall 03 |
159 |
201 |
146 |
57 |
66 |
629 |
2.52 |
80.4% |
19.6% |
However, it should be noted that the
redesign of the College Algebra course has increased the success rate of our
students in the fall as well.
|
Fall 2004 |
|
|
|
|
|
|
|
|
|
|
|
A |
B |
C |
D |
F |
A-F |
AVG |
ABC % |
DF% |
|
Redesign |
95 |
77 |
38 |
9 |
10 |
229 |
3.04 |
91.7% |
8.3% |
|
Traditional |
147 |
169 |
104 |
36 |
47 |
503 |
2.66 |
83.5% |
16.5% |
|
All |
242 |
246 |
142 |
45 |
57 |
732 |
2.78 |
86.1% |
13.9% |
Meeting the objective of having 75%
of students who complete the course earn a C or higher has been more difficult
in the spring than in the fall. Historically we have made great gains towards
this goal and met the goal once prerequisite checking was fully implemented.
|
|
A |
B |
C |
D |
F |
A-F |
AVG |
ABC % |
DF% |
|
200001 |
180 |
176 |
201 |
78 |
132 |
767 |
2.25 |
72.6% |
27.4% |
|
200101 |
224 |
196 |
152 |
93 |
162 |
827 |
2.27 |
69.2% |
30.8% |
|
200201 |
84 |
152 |
110 |
60 |
76 |
482 |
2.22 |
71.8% |
28.2% |
|
200301 |
101 |
124 |
117 |
78 |
112 |
532 |
2.05 |
64.3% |
35.7% |
|
200401 |
63 |
64 |
50 |
22 |
30 |
229 |
2.47 |
77.3% |
22.7% |
|
|
|
|
|
|
|
|
|
|
|
|
200501 |
42 |
76 |
55 |
30 |
38 |
241 |
2.22 |
71.8% |
28.2% |
However, again the redesigned
sections of College Algebra have had a positive impact on the level of success
of retained students, very nearly attaining the desired 75% success rate:
|
|
A |
B |
C |
D |
F |
A-F |
AVG |
ABC % |
DF% |
|
Traditional |
17 |
27 |
22 |
13 |
19 |
98 |
2.10 |
67.3% |
32.7% |
|
Redesign |
25 |
49 |
33 |
17 |
19 |
143 |
2.31 |
74.8% |
25.2% |
·
MATH 1113
o
Student
performance on the common assessment elements in the fall was disappointing
with only about 50% of the students getting the algebra problem correct and
significantly fewer students correctly completing the other two problems. This,
however, provided us with baseline data against which we could compare the
spring redesign students’ performance on the same type of questions.
In the spring, the redesign students
significantly outperformed the traditional students on the common assessment
problems, though overall success levels were still disappointing.
o
Historically
we have experienced great difficulty in having students successfully complete
Precalculus.
|
|
AVE |
TOTAL |
DF % |
W/WF% |
DWF % |
|
200208 |
2.2 |
809 |
23.4% |
22.9% |
46.2% |
|
200308 |
2.2 |
614 |
22.0% |
18.9% |
40.9% |
|
200408 |
2.2 |
547 |
23.9% |
21.2% |
45.2% |
Such DWF rates are, unfortunately,
not uncommon. However, we are striving to bring these down to the rates of 20%
withdrawal and 75% of retained students successfully completing the course. As
can be seen in the table below, we have approximately 69% of our retained
students successfully completing MATH 1113.
|
|
A |
B |
C |
D |
F |
A-F |
AVG |
ABC % |
DF% |
|
200108 |
123 |
140 |
103 |
67 |
100 |
533 |
2.22 |
68.7% |
31.3% |
|
200208 |
149 |
141 |
115 |
62 |
127 |
594 |
2.21 |
68.2% |
31.8% |
|
200308 |
108 |
116 |
100 |
52 |
83 |
459 |
2.25 |
70.6% |
29.4% |
|
200408 |
90 |
110 |
97 |
78 |
53 |
428 |
2.25 |
69.4% |
30.6% |
In the
spring the redesign efforts were extended to MATH 1113. Retention of students in the spring
has been a huge issue with withdrawal rates regularly between 25 and 30%.
However, in Spring 2005 this overall level dropped to 20%, thereby meeting this
objective. The reason for this is the extremely low withdrawal rate of students
involved in the redesign project.
|
|
All Sections |
AVE |
ABC % |
DF % |
W % |
DWF % |
|
|
|
200201 |
2.3 |
49.9% |
19.6% |
30.5% |
50.1% |
|
|
|
200301 |
2.4 |
56.5% |
17.7% |
25.8% |
43.5% |
|
|
|
200401 |
2.3 |
53.9% |
20.7% |
25.4% |
46.1% |
|
|
|
200501 |
2.1 |
55.6% |
24.4% |
20.0% |
44.4% |
|
Breakdown of Spring 2005
|
|
AVE |
ABC % |
DF % |
W % |
DWF % |
|
Students
who had Redesigned 1111 in Fall 04: |
2.2 |
67.1% |
25.6% |
7.3% |
32.9% |
|
Students
who had Redesigned 1111 in Fall 04 and Redesigned 1113 in Spring 05 |
2.4 |
74.6% |
22.0% |
3.4% |
25.4% |
A c2
test for difference of distribution was performed on the grade distribution of
the students in the redesigned sections with the historical distribution. Also,
a c2 test for difference of distribution was performed on the grade
distribution of the students in the redesigned sections vs. the traditional sections
in the spring semester.
|
p-values
for |
Historical Distribution |
Traditional Sections |
|
Spring
2005 |
0.002755 |
0.208895 |
·
MATH 2211
Different
learning outcomes were assessed in the fall and spring. In the fall over 50% of
the students gave a “C” answer or better on a fairly standard maximization
problem.
In the
spring, three questions were given and on only one (a u-substitution problem)
did 50% of the students give a “C” answer or better. Student performances on
the derivative by definition and the related rates problem were 38% and 25%
respectively.
·
The survey data was compiled and sorted by term of
graduation, student, and instructor and type of course (core, required major
class, elective major class). Averages by term and type of class were computed
and a correlation analysis was performed between the outcomes and the students’
GPAs.
·
The survey data was compiled and all averages were
above 3 (out of 4).
General Comment: Critical Thinking
Skills (in particular the ability to formulate new research questions) seems to
be a challenge for our students, both undergraduate and graduate.
II. Achievement of Departmental Objectives for Students
1. The “Core”
·
MATH 1101
·
Redesign efforts in MATH 1111 and 1113 have had a
tremendous, positive impact on retention with W and WF rates dropping
dramatically and meeting the goal of less than 20% withdrawal.
·
Student performances on individual class assessments
often failed to meet a hoped for 50% “pass” rate.
·
Achievement of 75% of the remaining students
receiving an A, B, or C is near at hand.
2. The
Undergraduate Major
A comparison of the average values
of student success in each of the learning outcomes categories was performed
against the expected value of student success as determined by the alignment
matrix created during the assessment planning period (located in Appendix D).
In many instances students outperformed our expected values, especially in the
areas of collaborative skills and technology. However, there were many
instances that students did not perform up to expectations.
B. Graduate
III. Changes to
Procedures or Curriculum Based on Assessment
A.
Undergraduate
1. The “Core”
·
Assessment efforts will expand to include the
courses most commonly used by students in Area D, specifically, MATH 1070 and
2212.
·
Preliminary successes in as a result of the redesign
efforts in MATH 1111 and MATH 1113 support the expansion of these efforts to
all sections in Fall 2005. Utilization of the lab will be analyzed and a
determination will be made as to the feasibility of expanding the redesign
effort to other classes.
·
Oversight
of the Core courses has been erratic at best and the Department’s attempt at
implementing “course coordinators” has been equally erratic. To do a good job
of ensuring students have the equitable opportunities to be successful and to
have those efforts assessed in equitable ways, the Department’s Improvement of
Instruction Committee has developed proposed policies (located in Appendix E)
that will be considered by the faculty at its first departmental meeting in
August.
·
As
redesign efforts are leading to the use of common exams in MATH 1111 and 1113,
the Department is considering the use of common exams in the calculus sequence,
MATH 2211, 2212, and 2215.
2. The
Undergraduate Major
·
Efforts
in the assessment of learning outcomes in the major have been slow to
implementation. Consistent oversight will be necessary to ensure that the plan
submitted is actually executed and data collected. Faculty members typically
rely on their final exams to provide them a picture of their students’
abilities (this is anecdotal based on faculty responses to the surveys). More
specific and explicit instruments need to be developed for both formative and
summative assessment at both the course and program levels.
·
The
surveys given to the faculty for input on our recent graduates attainment of
learning outcomes seem to have provided consistent data (there were common
elements on both surveys) lending some sense of credence to their
administration. Discussions are underway to devise ways to gather this data
more often (perhaps at the end of each semester or at the end of each class)
and more efficiently (most faculty submitted paper copies of their responses
leading to data entry time delays). Online submission of these responses seems
reasonable, but will likely not be developed until the Department’s WebCT site
is moved to Vista.
B.
Graduate
·
Attempts at moving away from course oriented
assessments to more global assessments will be undertaken.
IV. Changes in
Department’s Assessment Goals
A. Undergraduate
·The “Core”
o
Currently
the goals of reducing withdrawal rates to 20% and increasing success rates of
retained students to at least 75% will be kept in place and emphasis will be
place on student success of particular learning outcomes.
o
The
use of common assessment procedures (not just problems) will be implemented
beginning with the core courses.
·The Undergraduate Major
o
Evaluation
of student progress toward the Department’s major outcomes will be implemented
more evenly and continuously with an eye on student performance matching more
closely the Department’s expected values of student level of success.
B. Graduate
Graduate Assessment in Mathematics
I. Assessment Procedures
In 2004, the Department
of Mathematics and Statistics adopted the following Mission Statement:
Mathematics is one of the great
unifying themes in our modern culture. It is a language, a science, an art
form, and a tool of tremendous power. The Department of Mathematics and
Statistics, in its courses for both majors and nonmajors, seeks to introduce
students to this vast area of knowledge and to show them how mathematics can be
used to solve problems. Graduate
education should deepen and intensify that knowledge, preparing its graduates
to enter society as creative, scientifically literate citizens.
The overarching goals of any program
in mathematics are that mathematics instruction should: (from MAA’s Source Book for College
Mathematics Teaching , Schoenfeld, 1990)
Provide
students with a sense of the discipline of mathematics.
Develop
student’s understanding of important concepts in core areas of mathematics.
Develop
student’s ability to explore problem situations in a range of settings, at several
levels of difficulty, and with a variety of methods.
Help
students to develop a mathematical point of view – perceive and
represent structure and structural relationships.
Help
student’s to develop the ability to read and use mathematical literature and
reference material.
This lead to the Department’s
adoption of the following General Learning Outcomes for the M.S.
Program. The Assessment Plan
for each outcome is also included in Appendix B.
Graduates
should demonstrate knowledge of the discipline.
This includes the ability to
understand research problems in one or more areas of
mathematics and
statistics.
Students should have an appreciation
for the history of the subject, and the
sequence of results that
has led to the current state of development of one
or more areas of
mathematics and statistics.
Assessment plan:
Ask questions during the
thesis defense or on the general examination to
assess the
student’s proficiency.
Students should be
tracked after graduation, to determine if their
employment
is within the field. This is one
indication that the
student’s
proficiency was sufficient to warrant employment.
Graduates
should demonstrate advanced quantitative reasoning and problem solving ability.
This includes numerical,
combinatorial and statistical competency.
The following existing courses
specifically address this goal: Stat
8561 (Linear
Statistical Analysis I),
Math 8440 (Combinatorics) and CSC/Math
8620 (Numerical
Linear Algebra). At least one of
those courses is required for
each M.S. candidate:
Assessment plan:
Students must
satisfactorily complete degree requirements.
Graduates
should demonstrate advanced critical thinking skills.
This includes the ability to see
connections across fields within mathematics and
statistics as well as
the ability to see applications of mathematics and
statistics to other
disciplines.
Students should develop a
mathematical intuition about “how things work” in one
or more field within the
discipline.
This also includes the ability to
draw conclusions from data, and to develop an
appropriate approach to
solving problems.
Students should be able to extend
solution methods to problems not exactly like in
the book, both in a
theoretical and applied setting.
Assessment plan:
Ask questions during the
thesis defense or on the general examination to
assess the
student’s proficiency. This is
particularly important on
non thesis
general examinations: it may be the only opportunity to
measure such
goals.
Graduates
should demonstrate communication skills, both oral and written.
This includes the ability to explain
ideas to nonspecialists.
Assessment plan:
Thesis students orally
defend the thesis, as well as provide the thesis
document.
Non-thesis students must
produce a paper as part of their degree
requirements. Consideration should be given to having this
paper
orally
defended.
II. Achievement of Departmental Objectives for Students
A.
Undergraduate
B.
Graduate
Starting in 2005, the Department is
beginning the use of the following assessment instrument at each thesis
defense. In Fall, 2005, meetings are
scheduled to produce specific learning outcomes for graduate courses.
III. Changes to Procedures or Curriculum Based on Assessment
A.
Undergraduate
B.
Graduate
The Department to date has made no
changes to its procedures or curriculum based on assessment. After sufficient data has been collected,
changes could be considered.
IV. Changes in Department’s Assessment Goals
The Department to date
has proposed no changes in its goals for assessment, nor its goals for the M.S.
programs.
Appendix A:
Common Questions Used on Final Exams
MATH 1101
Common
Final Exam Assessment Questions (Aligned with Content Standards). The same
questions were used both terms. Instructors were asked to select at least two
questions to include on their final.
CCS 3. Linear
Functions. Students will demonstrate the ability to:
a. Determine when two
real-world variables are related by a linear or piecewise linear function.
b. Model the behavior of
two real-world variables that are directly proportional or are related by a
linear or piecewise linear function using tables, graphs, equations, or
combinations thereof.
g. Define the linear
function and the general equation of the linear function.
Q1: The
cost of a rental van for a day depends on the number of miles it is driven.
Find an equation that models the relationship between the Cost, C, and the
number of miles driven, x. Use the data in the table below.
|
Number of Miles, x |
Cost, C |
|
0 |
$15.00 |
|
50 |
$17.50 |
|
100 |
$20.00 |
|
150 |
$22.50 |
|
200 |
$25.00 |
3 points
for determining that the relationship is linear.
1 point for
writing y = b + mx
2 points
for determining that slope = 0.05
1 point for
determining that b = 15
3 points
for determining the equation C = 15 + 0.05x
CCS 4. Exponential
Functions. Students will demonstrate the ability to:
a. Determine when two real-world variables
are related by an exponential function.
b. Model the behavior of
two real-world variables that are related by an exponential function using
tables, graphs, equations, or combinations thereof including such applications
as population growth and decay, radioactive decay, simple and compound
interest, inflation, the Malthusian dilemma, musical pitch, and the Rule of 70.
e. Evaluate exponential
functions.
f. Determine the
exponential equation model from the table or graphical model.
Q2: $4,000
is invested in a savings account that is compounded annually. One year later,
the account balance is $4,180.
1. 2 points Find
the interest rate in percentage form.
2.
5 points Write a function that
represents the account balance as a function of time in years.
3.
3 points Find the account
balance 16 years after the initial investment.
CCS 5. Logarithmic
Functions. Students will demonstrate:
a. The ability to determine
when two real-world variables are related by a logarithmic function.
b. The ability to model the
behavior of two real-world variables that are related by a logarithmic function
using tables, graphs, equations, or combinations thereof including such
applications as pH and the decibel system.
c. Their understanding of
the natural logarithm.
Q3: A table
represents the simple logarithmic function y = log b x (for b greater
than one) if successive y-values all differ by one and the ratio (larger
to smaller) of the corresponding x-values is constant (always the same). If the
table passes this test, the constant ratio of the x-values is b, the base of
logarithm for that function.
In the x-y tables below, x represents the vertical leap in
centimeters of professional basketball players and y represents the
corresponding hamstring tendon strength factor.
a. Apply
the test outlined above to the tables below and identify the one table
that represents the logarithmic function of the form y = logbx.
Round ratios to the nearest thousandth.
Table
1 Table 2 Table 3
|
|
x |
y |
|
x |
y |
|
x |
y |
|
|
1.225 |
2.99 |
|
11 |
5 |
|
4.998 |
1.609 |
|
|
2.505 |
3.99 |
|
13 |
6 |
|
13.585 |
2.609 |
|
|
5.215 |
4.99 |
|
16 |
7 |
|
36.929 |
3.609 |
|
|
11.665 |
5.99 |
|
20 |
8 |
|
100.384 |
4.609 |
4 points for selecting Table 3
b. Determine
the equation of the form y = logbx from the one table above
that corresponds to a logarithmic function.
2 points for either of these
responses: y = log 2.718 x or y = ln x
c. Determine
the hamstring tendon strength factor when the vertical leap is 40.25
centimeters. Show work.
2
points for responding 3.695 or 3.70 or 3.7
1 point for a response
within plus or minus 0.2 based on approximation from the table or graph
d. Determine
the vertical leap in inches corresponding to a hamstring strength factor of
3.00. Show work.
2 points for
responding 20.079 or 20.08 or 20.1 (using y = log 2.718 x) or 20.086
or 20.09 or 20.1 (using y = ln x)
1 point for a response
within plus or minus 0.2 based on approximation from the table or graph
CCS 6. Polynomial and Quadratic Functions.
Students will demonstrate the ability to:
d. Determine
when two real-world variables are related by a quadratic function by calculating the average rate of
change of the average rates of change.
e. Model the
behavior of two real-world variables that are related by a quadratic function using tables, graphs, equations, or
combinations thereof including such applications as maximum area for fixed
perimeter, minimum perimeter for fixed area, free fall, maximum profit, and
break-even analysis.
f. Determine
the vertex, axis of symmetry, and horizontal and vertical intercepts of
quadratic functions in either the a-b-c or a-h-k forms.
Q4: The table below gives the
average number of customers, A(t), who will sign up for a new
cell phone service plan t weeks after the plan is made
available.
|
t (weeks) |
A(t) (customers) |
|
0 |
0 |
|
5 |
650 |
|
10 |
1100 |
|
15 |
1350 |
|
20 |
1400 |
|
25 |
1250 |
(a)
4
points This
data is best modeled by a ______________________ function. EXPLAIN!
Use linear, quadratic, exponential or logarithmic to fill in the blank.
(b) 2 points Determine the analytical model
(equation) that gives A(t) in terms of t.
SHOW WORK!
(c) 2 points Using the model from (b), determine
the time in weeks after the release of the plan, when no customers will sign up
for the cell phone service. SHOW WORK!
(d) 2 points Sketch the graph represented by the table above.
MATH 1111 – Fall 2004
Common Final Exam Assessment Questions (Aligned with Content
Standards)
CCS 2: Understand
linear functions and be able to:
·
Identify, graph, and find equations
of linear functions (including parallel and perpendicular lines).
Q1: Find an equation for the line with y-intercept 3 that is perpendicular to the line ![]()
![]()
CCS 4: Understand,
identify, graph, interpret and apply the following in applied settings
·
Quadratic functions of the form y =
§
Determine the vertex and intercepts.
Q2: Determine the vertex of ![]()
(a) A (-4, 11) (b) B (-4, 18) (c) C (4, 6) (d) D (4, 8)
·
Polynomial functions where the
polynomial is factorable.
Q3: Find a polynomial function with zeros: 0, 1, -2
(a)
(b) ![]()
(c)
(d)
![]()
·
Exponential functions of the form y
=
and their transformations.
Q4: If a small island has a population of 25,000 people and
if the population grows continuously at a rate of 2.8%, what will be the
population in 10 years? Compute answer to 3 significant digits.
(a) 33,100 (b) 411,000 (c)
31,800 (d) 25,700
CCS 5: Determine, both
algebraically and graphically, solutions to the following types of equations
and apply these solutions to concepts related to functions and other
applications:
·
Quadratic
Q5: An
object is shot upward with an initial velocity of 240 feet per second so that
its height s (in feet) above the
ground after t seconds is given by
For what values of t will the object be at least 416 feet above the ground?
(a) [2, 5] (b) [2, 13] (c)
[3, 5] (d) [3, 13]
MATH 1111 – Spring
2005
The first 15
questions on every student’s final exam were common:
CCS 1: Understand the general
definition of a function and be able to:
·
Illustrate a function verbally,
graphically, with charts/tables, and with set notation
·
Determine the domain and range of a
function
·
Identify where a function is
increasing, decreasing or constant.
1) Find g(a+1) when g(x) = 2x + 4.
A) 2a + 4 B) ½
a + 4 C) 2a – 6 D) 2a – 1
2) An
equation that defines y as a function of x is given. Solve for y in terms of x,
and replace y with the function notation f(x).
9x2
+ 7y = 6
A)
f(x) = 6 – 9x2 B)
f(x) = -9x2 +
C) f(x) =
D) f(x) = ![]()
Perform the requested operation or
operations.
3) f(x)
= 4x – 9, g(x) = 8x – 6. Find (f – g)(x).
A)
– 4x – 3 B) 12x – 15 C) 4x + 3 D)
– 4x – 15
4) f(x)
=
, g(x) = 8x – 13. Find
(x).
A)
8
B) 2
C) 2
D) 8![]()
5) The
graphs of the functions f and g are shown. Use these graphs to find g(f(4)).

A) 4 B)
8 C) 6 D) -2
7) Find the domain and range of the
function f(x) = 1 – x2.
A) Domain:
; Range:
B) Domain:
; Range: ![]()
C) Domain:
; Range:
D)
Domain:
; Range:
CCS 4: Understand,
identify, graph, interpret and apply the following in applied settings
·
Inverse functions
§
Get a rule for an inverse function
§
Graph a function and its inverse
9) If
f is one-to-one, find an equation for its inverse:
.
A)
B)
C)
D) Not a one-to-one
function
10) The
graph of a function f is given. Use the graph to find value of f -1(2).

A) 2 B)
C) 6 D) ![]()
CCS 4: Understand, identify,
graph, interpret and apply the following in applied settings
·
Quadratic functions of the form y =
§
Determine the vertex and intercepts.
6) Identify the vertex of the parabola
.
A) (1,0) B) (6,1) C)
(1,6) D) (0,6)
·
Polynomial functions where the
polynomial is factorable.
§
Students will be able to describe
the end behavior of polynomials and the relationship between end behavior and
the degree of the polynomial.
§
Students will be able to determine
intercepts of factorable polynomials exactly.
§
Students will be able to use
appropriate technology to approximate x-intercepts and local extrema of
polynomials.
8) Factor
f(x) into linear factors given that k is a zero of f(x) =
; k = -5 (multiplicity 2)
A)
B)
![]()
C)
D)
![]()
CCS 5: Determine, both algebraically and graphically, solutions to the
following types of equations and apply these solutions to concepts related to
functions and other applications:
·
Factorable polynomial
·
Simple exponential equations
11) Solve
.
A) {6} B) {- 4} C) {4} D) {125}
12) For the polynomial,
, one zero is 5 – find all others.
A) 1 + 2i, 1 – 2i B) 1 +
i, 1 –
i C) 1 +
, 1 –
D) -1 + 2i, -1 – 2i
CCS 4: Understand,
identify, graph, interpret and apply the following in applied settings
·
Exponential functions of the form y
=
and their transformations.
·
Logarithmic functions
§
Define a logarithm
§
Convert between logarithmic and
exponential forms
§
Understand the inverse relationship
between logarithmic and exponential functions
13) Graph
the exponential function
using transformations
where appropriate.


A) B)


C) D)
14)
Evaluate
.
A) -2 B) 9 C)
– 9 D) 2
15) Write
in logarithmic form.
A)
= 3 B)
C)
D)
MATH 1113 – Fall 2004
and Spring 2005
Common Final Exam
Assessment Questions (Aligned with Content Standards)
The vast majority of students taking MATH 1113 go on to take
MATH 2211, if not both MATH 2211 and 2212. Hence, the assessment elements this
year were very “skill” oriented; i.e., the students were asked to perform
common tasks found in either MATH 2211 or MATH 2212.
Q1: If
, find and simplify
. (Fall 2004)
For
the function
, find
in simplest form.
(Spring 2005)
Q2: Write cos(sin-1 x) as an algebraic expression in x free of trigonometric or inverse trigonometric
functions.
For u > 0, write the expression
as an algebraic
(non-trigonometric) expression in u. (Spring 2005)
Q3: If
, find the exact value of
. (Fall 2004)
Find the EXACT
value of
. (Spring 2005)
MATH 2211 - Common
Final Exam Assessment Question
·
Use
appropriate technology;
·
Communicate
how the problem is modeled by a mathematical formulation, and how to interpret
the result of the mathematical analysis.
Fall
2004
(Faculty were asked to select one of the following problems to include on their
final exam.)
1. One side of a rectangular field is bounded
by a straight river. The other three sides are bounded by straight fences. The
total length of the fence is 800 feet. Determine the dimensions of the field
given that the area is a maximum.
2. A rectangular garden 200 square feet in
area is to be fenced off against rabbits.
Find the dimensions that will require least amount of fencing if one side of
the garden is already protected by a barn.
3. A rectangular playground is to be fenced
off and divided into
two parts by a fence parallel to one side of the playground. Six hundred feet
of fencing is used. Find the dimensions of the playground that will enclose the
greatest total area.
Spring 2005
Q1: Consider the function
.
a. Find
by definition.
b. Find the
equation of the line tangent to the graph of f(x) at the point (1, f(1)).
Q2: The top of a 25
foot ladder, leaning against a vertical wall, is slipping down the wall at the
rate of 1 foot/minute. How fast is the bottom of the ladder slipping along the
ground when the bottom of the ladder is 7 feet away from the base of the wall?
Q3: Evaluate
.
Appendix B:
Surveys Utilized in
Data Collection
General
Learning Outcomes Assessment Form for
BS
Degree Students
Name: _____________________________________________ ID#:
_________________________
Indicate the extent to which the
student fulfilled each learning outcome:
|
What
classes did you have this student for? _________________________________________________________________ |
Not
Applicable |
Poor |
Good |
Very Good |
Excellent |
|
Goal
I. Communication |
|||||
|
0 |
1 |
2 |
3 |
4 |
|
2.
Students
communicate effectively using appropriate oral or signed conventions and formats. |
0 |
1 |
2 |
3 |
4 |
|
|
|
|
|
|
|
|
Goal
II. Collaboration |
|
|
|
|
|
|
0 |
1 |
2 |
3 |
4 |
|
|
|
|
|
|
|
|
Goal
III. Critical Thinking |
|
|
|
|
|
|
0 |
1 |
2 |
3 |
4 |
|
0 |
1 |
2 |
3 |
4 |
|
0 |
1 |
2 |
3 |
4 |
|
0 |
1 |
2 |
3 |
4 |
|
|
|
|
|
|
|
|
Goal
IV. Contemporary Issues |
|
|
|
|
|
|
0 |
1 |
2 |
3 |
4 |
|
0 |
1 |
2 |
3 |
4 |
|
|
|
|
|
|
|
|
Goal
V. Quantitative Skills |
|
|
|
|
|
|
0 |
1 |
2 |
3 |
4 |
|
0 |
1 |
2 |
3 |
4 |
|
|
|
|
|
|
|
|
Goal
VI. Technology |
|
|
|
|
|
|
0 |
1 |
2 |
3 |
4 |
Instructor:________________________________________
Date: ________________
Director of Undergraduate Studies: ____________________
Date: ________________
Department Chair:
_________________________________ Date: ________________
Learning
Outcomes in the Major Assessment Form for
BS
Degree Students
Name:
_____________________________________________
ID#: _________________________
Indicate the extent to which the
student fulfilled each learning outcome:
What
classes did you have this student for?
_____________________________________________________
|
A
graduate of a baccalaureate program in mathematics should: |
Not
Applicable |
Poor |
Good |
Very Good |
Excellent |
|
|
|||||
|
1. Excel in the use of basic quantitative
skills including |
|||||
|
Symbolic representation. |
0 |
1 |
2 |
3 |
4 |
|
Symbolic manipulation. |
0 |
1 |
2 |
3 |
4 |
|
Modeling. |
0 |
1 |
2 |
3 |
4 |
|
Pattern recognition. |
0 |
1 |
2 |
3 |
4 |
|
Problem solving. |
0 |
1 |
2 |
3 |
4 |
|
Quantitative reasoning. |
0 |
1 |
2 |
3 |
4 |
|
Estimation. |
0 |
1 |
2 |
3 |
4 |
|
2. Demonstrate content knowledge of core
areas of mathematics including |
|
|
|
|
|
|
Algebraic, order, and completeness properties of the real
number system. |
0 |
1 |
2 |
3 |
4 |
|
Analysis of functions from Rn to Rm. |
0 |
1 |
2 |
3 |
4 |
|
Algebra of linear functions from Rn to Rm. |
|