MAT 220 Statistical Methods Summer 2022
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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)
2022-07-28