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 5 or equivalent; co-requisite ENG 2 and/or RDL 2 if required
TEXT (Bundle): Understanding Basic Statistics by Brase & Brase, Loose-leaf version, 7th ed. + MindTap Statistics, 1 term (6 months) Instant Access, Cengage Learning. (7th Edition, ISBN-10: 1337349097, ISBN-13: 9781337349093)
Calculator: scientific calculator (suggested: TI-36X Pro)
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 |
1-3, 8-20 |
|
|
1.3 |
Introduction to Experimental Design |
29-31 |
1, 2, 5-11 |
2. Organizing Data |
2.1 |
Frequency Distributions, Histograms, and Related Topics |
52-59 |
1-10, 15-20 |
2.2* |
Bar Graphs, Circle Graphs, and Time-Series Graphs |
65-69 |
1-14 |
|
2.3* |
Stem-and-Leaf Displays |
73-76 |
1-9 |
|
3. Averages and Variation |
3.1 |
Measures of Central Tendency: Mode, Median, and Mean |
95-99 |
1, 2, 5-7, 12-28 |
3.2 |
Measures of Variation |
111-114 |
1-21 |
|
3.3 |
Percentiles and Box-and-Whisker Plots* |
127-128 |
1-11 |
|
4. Correlation and Regression |
4.1 |
Scatter Diagrams and Linear Correlation |
154-157 |
1-18 |
4.2* |
Linear Regression and the Coefficient of Determination |
171-175 |
1-18 |
|
5. Elementary Probability Theory |
5.1 |
What is Probability? |
198-200 |
1-4, 7-20 |
5.2 |
Some Probability Rules– Compound Events |
215-220 |
1-8, 11-31 |
|
5.3* |
Trees and Counting Techniques |
229-231 |
1-27 |
|
6. The Binomial Probability Distribution and Related Topics |
6.1 |
Introduction to Random Variables and Probability Distributions |
248-252 |
1-3, 6-18 |
6.2 |
Binomial Probabilities |
264-269 |
1-27 |
|
6.3 |
Additional Properties of the Binomial Distribution |
274-278 |
1-8, 11-22 |
|
7. Normal Curves and Sampling Distributions |
7.1 |
Graphs of Normal Probability Distribution |
297-299 |
1-11 |
7.2 |
Standard Units and Areas Under the Standard Normal Distribution |
309-311 |
1-50 |
|
7.3 |
Areas Under any Normal Curve |
321-324 |
1-30 |
|
7.4 |
Sampling Distributions |
331 |
1-9 |
|
7.5 |
The Central Limit Theorem |
339-343 |
1-20 |
|
7.6 |
Normal Approximation to the Binomial Distribution |
350-353 |
1-21 |
|
8. Estimation |
8.1 |
Estimating μ when σ is Known |
377-382 |
1-25 |
8.2 |
Estimating μ when σ is Unknown |
390-395 |
1-22 |
|
8.3* |
Estimating p in the Binomial Distribution |
403-407 |
1-27 |
|
9. Hypothesis Testing |
9.1 |
Introduction to Statistical Tests |
432-436 |
1-24 |
9.2 |
Testing the Mean μ |
447-451 |
1-24 |
|
9.3* |
Testing a Proportion p |
458-463 |
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 KD 8/16