Bronx Community College of the City University of New York
Department of Mathematics and Computer Science
Syllabus: MTH 23 Probability and Statistics (3 credits, 3 hours per week)
Prerequisite: MTH 05 or equivalent; co-requisite ENG 02 and/or RDL 02 if required
TEXT: Understanding Basic Statistics by Brase & Brase, BROOKS/COLE, Cengage Learning. (6th Edition, ISBN 978-1-111-82702-1)
Learning Objectives: On successful completion of this course, students will be able to
This course addresses the following General Education Proficiencies: analysis, interpretation,
evaluation, and integration of information to formulate and solve problems; use
of mathematical and scientific methods to formulate and solve problems and to
understand the physical, natural and social worlds. This course may be used to satisfy Category A (Mathematical and
Quantitative Reasoning) of the CUNY Pathways
Required Core.
Topics, Text Sections and Homework: (*optional topics)
|
SECTION |
TOPIC |
PAGES |
PROBLEMS |
1. Getting Started |
1.1 |
What is statistics? |
10-12 |
1-15 |
1.2 |
Random Samples |
18-20 |
1-16 |
|
|
1.3 |
Introduction to Experimental Design |
28-29 |
1-9 |
2. Organizing Data |
2.1 |
Frequency Distributions, Histograms, and Related Topics |
50-54 |
1-16 |
2.2* |
Bar Graphs, Circle Graphs, and Time-Series Graphs |
60-63 |
1-14 |
|
2.3* |
Stem-and-Leaf Displays |
67-70 |
1-9 |
|
3. Averages and Variation |
3.1 |
Measures of Central Tendency: Mode, Median, and Mean |
89-93 |
1-24 |
3.2 |
Measures of Variation |
104-110 |
1-21 |
|
3.3 |
Percentiles and Box-and-Whisker Plots* |
117-119 |
1-11 |
|
4. Correlation and Regression |
4.1 |
Scatter Diagrams and Linear Correlation |
144-147 |
1-18 |
4.2* |
Linear Regression and the Coefficient of Determination |
160-165 |
1-18 |
|
5. Elementary Probability Theory |
5.1 |
What is Probability? |
183-186 |
1-18 |
5.2 |
Some Probability Rules– Compound Events |
199-204 |
1-29 |
|
5.3* |
Tree Diagrams and Counting Techniques |
212-214 |
1-27 |
|
6. The Binomial Probability Distribution and Related Topics |
6.1 |
Introduction to Random Variables and Probability Distributions |
230-234 |
1-16 |
6.2 |
Binomial Probabilities |
243-248 |
1-27 |
|
6.3 |
Additional Properties of the Binomial Distribution |
253-256 |
1-20 |
|
7. Normal Curves and Sampling Distributions |
7.1 |
Graphs of Normal Probability Distribution |
273-276 |
1-11 |
7.2 |
Standard Units and Areas Under the Standard Normal Distribution |
284-286 |
1-50 |
|
7.3 |
Areas Under any Normal Curve |
296-300 |
1-30 |
|
7.4 |
Sampling Distributions |
305 |
1-9 |
|
7.5 |
The Central Limit Theorem |
312-316 |
1-20 |
|
7.6 |
Normal Approximation to the Binomial Distribution |
322-325 |
1-21 |
|
8. Estimation |
8.1 |
Estimating μ when σ is Known |
346-350 |
1-25 |
8.2 |
Estimating μ when σ is Unknown |
357-362 |
1-22 |
|
8.3* |
Estimating p in the Binomial Distribution |
370-374 |
1-27 |
|
9. Hypothesis Testing |
9.1 |
Introduction to Statistical Tests |
399-403 |
1-24 |
9.2 |
Testing the Mean μ |
414-419 |
1-24 |
|
9.3* |
Testing a Proportion p |
425-429 |
1-24 |
Suggested Grading Guidelines: Homework, quizzes, oral presentations, projects, etc. (1/3 of grade); In-class tests (1/3 of grade); Final Exam (1/3 of grade).
SLF 4/09/ AW 3/10/ RG 5/12 KD 3/15