Introductory Statistics Book 2.1.1

The "Introductory Statistics" textbook from OpenStax is designed to meet the scope and sequence requirements of a one-semester introduction to statistics course, specifically targeting students who are majoring in fields outside of mathematics or engineering. The material assumes a foundational knowledge of intermediate algebra and emphasizes practical applications of statistics over theoretical concepts. This approach makes the content both relevant and accessible for learners.

The textbook includes a variety of innovative applications, collaborative exercises, and technology integration problems. Notably, it features practical statistics labs that enhance the learning experience.

• Comprehensive content from OpenStax
• Multiple-choice questions (MCQ) for self-assessment
• Essay question flashcards for deeper understanding
• Key-term flashcards for vocabulary reinforcement

The structured outline of topics covered in the textbook is as follows:

1. Sampling and Data
   • Definitions of Statistics, Probability, and Key Terms
   • Data, Sampling, and Variation in Data and Sampling
   • Frequency, Frequency Tables, and Levels of Measurement
   • Experimental Design and Ethics
   • Data Collection Experiment
   • Sampling Experiment
2. Descriptive Statistics
   • Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
   • Histograms, Frequency Polygons, and Time Series Graphs
   • Measures of Location for Data
   • Box Plots
   • Measures of Center for Data
   • Skewness; Mean, Median, and Mode
   • Measures of Spread for Data
   • Descriptive Statistics Overview
3. Probability Topics
   • Independent and Mutually Exclusive Events
   • Basic Rules of Probability
   • Contingency Tables
   • Tree and Venn Diagrams
4. Discrete Random Variables
   • Probability Distribution Function (PDF) for a Discrete Random Variable
   • Mean or Expected Value and Standard Deviation
   • Binomial Distribution
   • Geometric Distribution
   • Hypergeometric Distribution
   • Poisson Distribution
5. Continuous Random Variables
   • Continuous Probability Functions
   • The Uniform Distribution
   • The Exponential Distribution
6. The Normal Distribution
   • The Standard Normal Distribution
7. The Central Limit Theorem
   • The Central Limit Theorem for Sample Means (Averages)
8. Confidence Intervals
   • A Single Population Mean using the Normal Distribution
9. Hypothesis Testing with One Sample
   • null and alternative hypotheses; Types I and II errors; Full hypothesis test examples.</il>