2009 spring stat syllalbus

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Statistics 252 (Online) Syllabus

I. Course Identification: AS 252, Applied Statistics

II. Semester and Year: Spring, 2009

III. Instructor Contact Information: Bob Amundson. Email: Blackboard Message (in courseshell), or [email protected].

IV. Office Hours: To be determined.

V. KPC Class Cancellation: Cancelled sessions (if/when applicable) will be posted onBlackboard.

VI. Course Description: This course is designed as an introductory class intended to familiarizestudents with the purpose and use of descriptive and inferential statistics. VII. Prerequisite: Math 105 or two years of high school algebra with a grade of C or better.

VIII. Instructional Goals: The student should be able to use and interpret descriptive statistics for univariate and bivariate data. The student should be able to construct confidence intervals andtests of hypothesis for means and proportions in one and two population cases.

IX. Expected Student Outcomes: Understand the basic counting principle for probability,understand how probability outcomes are related to the standard normal distribution curve, beable to write hypothesis and use confidence intervals to test hypothesis with standard normaldistribution curve.

X. Class Participation: Students are expected to ask relevant questions and be prepared eachday. A graphing calculator is required and will be used on a regular basis. Announcements andassignments will be posted on Blackboard. Be sure to check in on a regular basis.

XI. Student Attendance: Class attendance (and or work is expected). Chronic absenteeism willadversely affect your grade. It is your responsibility to withdraw from the class. If you do not, agrade of "F" will be assigned. XII. Required Written Work: Homework and tests must be completed within the dates posted onBlackboard. It is the students' responsibility keep up with required assignments.

XIII. Conditions for Auditing This Course: Students wishing to audit this course arewelcome. To maintain audit status a student must offer well-prepared participation

(HW/Quizzes/Tests) in at least four of the eight chapters covered. Less participation

will result in the audit (AU) being changed to a withdrawal (W).

XIV. Plagiarism and Cheating Policy: Cheating and/or plagiarism will result in a grade of "F" for the test or assignment.

XV. Grade Scale:A. 90-100%B. 80-89%C. 70-79%



D. 60-69%F. 0-59%

XVI. Evaluation Tools:Tests: 80%Quizzes/Homework 20%

XVII. Course Text: Elementary Statistics, A Step by Step Approach, 7th edition, Bluman.Purchase/access to accompanying Solution Key strongly recommended.

XVIII. Class Atmosphere and Safety: Students in this online class are expected to conductthemselves in a manner that is respectful to both the other students enrolled in the class as wellas the instructor. Disruptive behavior/comments may result in dismissal from class. XIX. Academic Success and Support Services: If you experience a disability and would likeinformation about support services, contact Dianne Taylor at Disability Support Services, locatedin Room 131 (phone 262-0328). For your greatest academic success, we recommend that youset up your services early in the semester

XX. Statistics 252 (Online) Class Outline:

Recording(s) # Topic(s) Section(s)

1 Introduction to Statistics, Descriptive vs Inferential 1-1 to 1-4Statistics, Variables and Types of Data,Data Collection and Sampling TechniquesObservational and Experimental Studies

2 Chapter 2 Introduction, Organizing Data 2-1 to 2-2Histograms, Frequency Polygons, and Ogives

3 Chapter 3 Introduction, Measures of Central 3-1

Tendency

4 Measures of Variation 3-2

5 Measures of Position 3-3

6 Exploratory Data Analysis 3-4

7 Chapter 4 Introduction, Sample Spaces and 4-1Probability

8 Addition Rules for Probability 4-2

9 Multiplication Rules for Probability 4-3

10 Counting Rules 4-4

11 Probability and Counting Rules 4-5

12 Chapter 5 Introduction, Probability Distributions 5-1

13 Mean, Variance, and Expectation, The Binomial 5-2, 5-3



Distribution

14 Other Types of Distributions 5-4

15 Chapter 6 Introduction, Normal Distribution 6-1

16 Normal Distribution, and Applications 6-2

17 Central Limit Theorem, Normal Approximation 6-3, 6-4o Binomial Distribution

18 Chapter 7 Introduction, Confidence Intervals 7-1

19 Confidence Intervals, (n<30) 7-2

20 Confidence Intervals and Sample Size for Proportion 7-3

21 Confidence Intervals, Variances and S.D.s 7-4

22 Chapter 8 Introduction, Hypothesis Testing 8-1

23 Z-Test for a Mean 8-2

24 t-Test for a Mean 8-3

25 Z-Test for a Proportion 8-4

26 Chi-squared Test for Variance or S.D. 8-5

27 Confidence Intervals and Hypothesis Testing 8-6

2009 spring stat syllalbus

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