IndietroIntroductory Statistics Course Schedule and Chapter Overview
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Course Structure and Chapter Progression
Overview
This schedule outlines the weekly progression of topics for an Introductory Statistics course (MTH 160-SL3), covering foundational concepts and major chapters relevant to college-level statistics. The course is divided into four units, each culminating in a test, and concludes with a comprehensive final exam. Homework assignments are due regularly, reinforcing chapter content.
Weekly Topics and Chapter Coverage
Unit 1: Introduction and Data Exploration
Week 1: Introduction, 1.1, 1.2, 1.3 - Covers Ch. 1: Introduction to Statistics - Key concepts: Definition of statistics, types of data, basic terminology
Week 2: 2.1, 2.2 - Covers Ch. 2: Exploring Data with Tables and Graphs - Key concepts: Frequency tables, histograms, graphical representation of data
Week 3: 3.1, 3.2, 3.3 - Covers Ch. 3: Describing, Exploring, and Comparing Data - Key concepts: Measures of central tendency (mean, median, mode), measures of variation (range, variance, standard deviation)
Week 4: 3.3, 10.1 - Continues Ch. 3 and introduces Ch. 10: Correlation and Regression - Key concepts: Scatterplots, correlation coefficients, linear regression
Week 5: UNIT 1 TEST, 10.1 - Assessment of Unit 1 material
Unit 2: Probability and Distributions
Week 6: 10.2, StatCrunch Project Overview - Continues Ch. 10: Regression analysis, project introduction
Week 7: 4.1, 4.2, 5.1 - Covers Ch. 4: Probability and Ch. 5: Discrete Probability Distributions - Key concepts: Probability rules, discrete random variables, binomial distribution
Week 8: 5.1, 5.2 - Continues Ch. 5: Probability distributions, expected value
Week 9: UNIT 2 TEST, 6.1 - Begins Ch. 6: Normal Probability Distributions - Key concepts: Properties of the normal distribution, z-scores
Unit 3: Normal Distribution and Estimation
Week 10: 6.2, 6.3 - Continues Ch. 6: Applications of the normal distribution, sampling distributions
Week 11: 6.4 - Completes Ch. 6: Central Limit Theorem, normal approximation
Week 12: 7.1, 7.2 - Covers Ch. 7: Estimating Parameters and Determining Sample Sizes - Key concepts: Confidence intervals, margin of error, sample size calculation
Unit 4: Hypothesis Testing and Inference
Week 14: 8.1, 8.2 - Covers Ch. 8: Hypothesis Testing - Key concepts: Null and alternative hypotheses, significance level, p-values
Week 15: 8.3 - Continues Ch. 8: Types of errors, test statistics
Week 16: UNIT 4 TEST, Study for Final Exam - Review and assessment of Unit 4 material
Assessment and Projects
Homework: Regular chapter homework assignments reinforce learning and provide practice with key concepts.
Unit Tests: Four unit tests assess understanding of major topics.
StatCrunch Project: Application of statistical software for data analysis.
Midterm and Final Exam: Comprehensive exams scheduled in the testing center.
Summary Table: Chapter Coverage
Chapter | Main Topics | Weeks Covered |
|---|---|---|
1 | Introduction to Statistics | 1 |
2 | Exploring Data with Tables and Graphs | 2 |
3 | Describing, Exploring, and Comparing Data | 3-4 |
4 | Probability | 7 |
5 | Discrete Probability Distributions | 7-8 |
6 | Normal Probability Distributions | 9-11 |
7 | Estimating Parameters and Determining Sample Sizes | 12-13 |
8 | Hypothesis Testing | 14-15 |
10 | Correlation and Regression | 4-6 |
Additional Info
Chapters 9, 11, and 12 (Inferences from Two Samples, Goodness-of-Fit and Contingency Tables, Analysis of Variance) are not explicitly listed in the schedule, suggesting they may be omitted or integrated into other chapters.
StatCrunch is used for data analysis projects, providing practical experience with statistical software.
All major topics from the standard Introductory Statistics curriculum are covered, making this schedule highly relevant for exam preparation and foundational learning.
