Introductory Statistics Book 2.1.1

Introductory Statistics Book 2.1.1

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2.1.1
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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>

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Introductory Statistics Book의 최신 버전은 2024-12-30에 발표 된 2.1.1. 처음 2024-12-30에 데이터베이스에 추가 되었습니다.

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