A
TMCC
COURSE ASSESSMENT REPORT (CAR)
Revised I 0/21/2013
Course Prefix, Number and Title: STAT 152 Introduction to Statistics
Division/Unit: Science/Mathematics
Submitted by: Anne Flesher
Contributing Faculty: Anne Flesher, Gail Ferrell, Jim Cotter
Academic Year: 2014-2015
Complete and electronically submit your assessment report to your Department Chair/Coordinator/Director. As needed, please attach supporting documents and/or
a narrative description of the assessment activities in your course.
Course Outcomes
In the boxes below, summarize
the outcomes assessed in your
course during the year.
Outcome #I
Students will analyze sampling
distributions by calculating and
interpreting descriptive statistics,
and by appropriately showing a
graphical display of the
distribution.
Assessment Measures
Assessment Results
Use of Results
Effect on Course
In the boxes below, summarize
the methods used to assess course
outcomes during the last year.
In the boxes below, summarize
the results of your assessment
activities during the last year.
In the boxes below, summarize
how you are or how you plan to
use the results to improve student
learning.
Based on the results of this
assessment, will you revise your
outcomes? If so, please
summarize how and why in the
boxes below:
Common final exam questions.
Correctly give descriptive
statistics for a data set.
Fall 2014: 85%
Spring 2015: 83%
Correctly give or identify a
graphical display of the data set.
Fall 2014: 97%
Spring 2015: 95%
The results show that students in
can calculate the appropriate
descriptive statistics for a raw
data set, and give or indentify an
appropriate graphical display.
This is one of the more
elementary topics of the class, so
it is not surprising that students
do well on this topic. It is also
threaded throughout the
remain in~ topics of the course.
Yes. It seems that we no longer
need to assess this topic and
instead focus on a more difficult
topic to see if there are other
areas where the course can be
improved.
Common final exam questions
Correctly write the line of
regression given a data set.
Fall 2014: 75%
Spring 2015: 75%
Correctly calculate the
correlation coefficient.
Fall 2014: 63%
Spring 2015: 71%
Outcome# 2
Students will carry out a linear
regression analysis by computing
and interpreting the correlation
coefficient and the least squares
line of regression to predict
values, interpret slope, identify
outliers, and identify influential
points.
Page I
The question that was used for
this outcome had many parts, and
not all the parts were asked of
each class each semester. The
goal was to address the not just
the mechanics of writing a line of
regression but at the
interpretation. A better question
will be designed for the future.
Yes. This outcome is too
difficult to assess across multiple
sections that may use different
data sets. The outcome needs to
be simplified to assess a student's
interpretation of the correlation
between two variables.
A
TMCC
COURSE ASSESSMENT REPORT (CAR)
Course Prefix, Number and Title: STAT 152 Introduction to Statistics
Division/Unit: Science/Mathematics
Submitted by: Anne Flesher
Contributing Faculty: Anne Flesher, Gail Ferrell, Jim Cotter
Academic Year: 2014-2015
Course Outcomes
Assessment Measures
Assessment Results
Use of Results
Effect on Course
Traditionally, this is the last and
most difficult topic for students,
yet it is so essential. It is the
capstone of this course. The
results show that students
struggle to set up hypothesis test
and to make a conclusion. The
mechanics of calculating a test
statistic improved from fall to
spring, but a lower percentage of
students struggled with the set up
and with the conclusion. More
hypothesis testing should be done
earlier in the course to allow
more time for understanding of
this topic.
This outcome wi II not change,
and needs to be assessed each
semester. Since this is the
capstone topic for student in
basic statistics. The results of
this outcome need to improve.
One recommendation is to lightly
focus on probability midsemester, and move more quickly
into the later topics to have more
time to cover hypothesis testing
and the Central Limit Theorem at
the end of the semester.
Correctly interpret the correlation
coefficient.
Fall 2014: 70%
Spring 2015: 68%
Outcome #3
Students will describe a sampling
distribution, carry out a
hypothesis test about a
population mean, and explain the
conclusion of the hypothesis test.
Common final exam questions
Correctly set up the hypotheses
test.
Fall 2014: 61%
Spring 2015: 49%
Correctly calculate a test statistic.
Fall 2104: 63%
Spring2015: 81%
Correctly make a conclusion
using a p-value
Fall 2014: 54%
Spring 2015: 56%
Page 2
A
TMCC
COURSE ASSESSMENT REPORT (CAR)
Course Prefix, Number and Title: STAT 152 Introduction to Statistics
Division/Unit: Science/Mathematics
Submitted by: Anne Flesher
Contributing Faculty: Anne Flesher, Gail Ferrell, Jim Cotter
Acad emic Year : 2014-2015
Please enter your name and date below to confirm you have reviewed this report:
Title
Department Chair/Coord inator/Director
Name
Date
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Dean
Vice President of Academic Affa irs
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