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Statistical Methods

MAT 220

Syllabus

Summer 2022

Professor Contact Information

Professor:   Kristine Buddemeyer

Office Hours: via email (I will respond to messages within 24 hours M – F)

Contact Information:buddemeyerk@seminolestate.edu   (WeChat: buddemeyerk)

Text/ISBN: Triola, Elementary Statistics, Pearson Publishing, 13th Edition                                                 *You will need to purchase an access code for MyStatLab and StatCrunch. This comes with an e-book, so it is optional to purchase the physical textbook.

The code you will need to sign up for the online homework is: buddemeyer49979

Policies and Procedures

Course Goals

This course is designed to be in introduction to basic principles of measurement, data collection and analysis. Topics include data distributions, preparation of tables and graphs, descriptive statistics (measures of variability, center and association), and statistical inference (sampling distributions, estimation, and hypothesis testing).

Prerequisites

MAT 126, 130, 140, 192, or equivalent placement.

Credit Hours: 3

Participation and Grading

Your grade in this course will be determined by your performance in the following categories:

Assignments

Percentage

Online Homework

15%

Written Assignments

10%

Exams

50%

Final Exam

25%

Total

100%

Grading Scale:

The grading scale in the class will be as follows:

A=90-100%

B=80-89%

C=70-79%

D=60-69%

F=59% And Below

You may track your running point total throughout the term via our course site.  Please be aware, however, that the course grade you see in the site will reflect only assignments and activities you have already completed and that your professor has graded.

Academic Integrity

Wesleyan’s College expects student to show integrity in all of their work.   Cheating,  plagiarism,  unauthorized collaboration, inventing or falsifying information, turning in work for more than one class without authorization, or helping someone else are all violations of the Honor Code and are not tolerated. Any of these forms of cheating will not be tolerated and will be grounds for a grade of zero on the exam or assignment and a grade of F for the course, in addition to any penalties imposed by the Provost.

Potential Changes to Course Schedule

The following week-to-week schedule is a general plan for the course.   Deviations may be necessary and will be announced in advance via announcement and/or e-mail.  Students should check their course site announcements and emails at least once every twenty-four hours throughout the term to watch for updates regarding this course.

Course Schedule

Week 1

Describing data

1. 1: Statistical & Critical Thinking

1.2: Types of Data

1.3: Collecting Sample Data

2. 1: Frequency Distributions for Organizing and Summarizing Data

2.2: Histograms

2.3: Graphs that Enlighten & Graphs that Deceive

2.4: Scatterplots, Correlation, and Regression

3. 1: Measures of Center

3.2: Measures of Variation


Week 2

Describing data and basic probability

3.3: Measures of Relative Standing and Boxplots

4. 1: Basic Concepts of Probability

4.2: Addition Rule & Multiplication Rule

4.3: Complements, Conditional Probability, and Bayes’ Theorem

4.4: Counting

End of Exam #1 Material

5. 1: Probability Distributions

5.2: Binomial Probability Distribution

EXAM #1 (Chapters 1 – 4)

Week 3

Probability and Normal Distribution

5.3: Poisson Probability Distributions

6. 1: The Standard Normal Distribution

6.2: Real Applications of the Normal Distribution

6.3: Sampling Distributions & Estimators

6.4: The Central Limit Theorem

Week 4

Estimation, test of hypotheses

7. 1: Estimating a Population Proportion

7.2: Estimating a Population Mean

8. 1: Basics of Hypothesis Testing

8.2: Testing a Claim About a Proportion

8.3: Testing a Claim About a Mean

End of Exam #2 Material

9. 1: Two Proportions

EXAM #2 (Chapters 5 – 8)

Week 5

Regression

9.2: Two Means: Independent Samples

9.3: Two Dependent Samples (Matched Pairs)

10.1: Correlation

10.2: Regression

FINAL EXAM (Cumulative)