Math 1635 - Statistics

This is an information sheet only, not the course syllabus.

COURSE DESCRIPTION

Elementary statistics: elements of descriptive and inferential statistics. Communication with data descriptions and graphs. Probability principles and their use in developing probability distributions. Binomial, normal, student-t, chi-square and F distributions. Hypothesis testing, estimation, contingency tables, linear regression and correlation, and one-way ANOVA. Prerequisite: Mathematics 1428 (or college equivalent) with a grade of "C" or better or Mathematics 1431 (or college equivalent) with a grade of "C" or better or Mathematics 1533 (or college equivalent) with a grade of "C" or better or a qualifying score on the mathematics placement test or a qualifying A.C.T. math score (4 lecture hours)

COURSE MATERIALS

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COURSE MEDIA

MINITAB
MyMathLab

ORIENTATION/ATTENDANCE

Orientation is required.

COURSE OUTLINE

Unit	Required Text	Exam Number
1	Chapter 1: Introduction to Statistics Chapter 2: Summarizing and Graphing Data Chapter 3: Statistics for Describing, Exploring, and Comparing Data	1
2	Chapter 4: Probability (omit sections 4.6 and 4.8) Chapter 5: Probability Distributions (omit section 5.5)	2
3	Chapter 6: The Normal Probability Distribution Chapter 7: Estimates and Sample Sizes	3
4	Chapter 8: Hypothesis Testing Chapter 9: Inferences from Two Samples (omit confidence interval construction in 9.3 and 9.4)	4
5	Chapter 10: Correlation and Regression Sections 10.1, 10.2, and 10.3. Chapter 11: Multinomial Experiments and Contingency Tables: Sections 11.1, 11.2, and 11.3 Chapter 12: One-way ANOVA: Sections 12.1 and 12.2	5