| title | Applied Statistics |
|---|---|
| description | This is a homepage for MAT240, Applied Statistics, with Dr. Gilbert at Southern New Hampshire University. This course covers an introduction to data, exploratory data analyses and data visualization, one- and two-sample inference via confidence intervals and hypothesis testing for both proportions and means, chi-squared tests for goodness of fit and independence, ANOVA for comparisons of multiple group means, and introduces linear regression. The course also provides an introduction to Excel, the use of which is embedded throughout the semester. |
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Syllabus (Spring 2027)
Course Description: This is a fundamental course in the application of statistics. In this course, students learn how to apply statistical techniques to a variety of applications in business and the social sciences. Students learn how to solve statistical problems by hand and through the use of computer software. Topics include probability distribution functions, sampling distributions, estimation, hypothesis testing, and linear regression.
Note to Instructors About Online Homework: I have a freely available online homework shell at MyOpenMath which is available for copy. Contact me for the instructions and required information.
Below is a tentative timeline for our course. For each meeting day, it includes a description of the topic covered, suggested reading, notes (sometimes), and assignments you are prepared to complete.
| Class Meeting | Topic | Before Class | Additional Notes | Optional Extra Practice |
|---|---|---|---|---|
| 1 | Introduction and What to Expect Excel Basics |
Day 1, Overview | ||
| 2 | Probability and Statistics Terminology Experimental Design Ethics in Statistics and Data Analysis |
Intro to Data | Day 2, Terminology and Background | HW 1 |
| 3 | Excel Fundamentals for Data Analysis | Introduction to Spreadsheets | Day 3, Unlocking Excel | |
| 4 | Organizing and Summarizing Data Summary Statistics and Visualization in Excel |
Descriptive Statistics with Spreadsheets | Day 4, Summary Statistics and Data Viz | HW 2 |
| 5 | Discrete Probability | Discrete Probability and the Binomial Distribution | Day 5, Discrete Probability | HW 3 |
| 6 | The Normal Distribution | Probability and the Normal Distribution | Day 6, Normal Distribution | HW 4 |
| 7 | Probability Workshop | Probability Workshop Problems | ||
| 8 | Group Exam I | |||
| 9 | Fundamentals Exam I (No Tech) | |||
| 10 | Applications Exam I | |||
| 11 | The Central Limit Theorem and the Sampling Distribution | Foundations for Inference | Day 11, CLT and Sampling Distributions | HW 5 |
| 12 | An Overview of Statistical Inference | Day 12, Foundations for Inference | ||
| 13 | Inference for a Single Proportion | Inference for a Proportion | Day 13, Inference for a Single Proportion | |
| 14 | Inference on One and Two Proportions | Practice Inference for Proportions | Day 14, Inference with One and Two Proportions | HW 6 |
| 15 | Practice with Inference on Proportions | Practice Inference Problems | ||
| 16 | Inference for One and Two Means | Inference on Means | Day 16, Inference on Means | HW 8, HW 9 (1 - 3) |
| 17 | Mixed Inference Practice, Part I | Mixed Inference Practice A | Practice Inference Problems Exit Ticket |
|
| 18 | Mixed Inference Practice, Part II | Mixed Inference Practice B | Exit Ticket | |
| 19 | Mixed Inference Practice, Part III | Mixed Inference Practice C | Exit Ticket | |
| 20 | Group Exam II | |||
| 21 | Fundamentals Exam II (No Tech) | |||
| 22 | Applications Exam II | |||
| 23 | Inference with Raw Data | Inference with Raw Data | ||
| 24 | ANOVA | ANalysis Of VAriance | HW 9 (4 - 9) | |
| 25 | Linear Regression | HW 10 | ||
| 26 | Review | |||
| 27 | Final Exam, Part A | |||
| 28 | Final Exam, Part B (Optional) |