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Gauss to the normal distribution; often used in physics and electrical engineering applications, Key Statistics Terms and definitions covered in this textbook, Chapter 1.2: Statistical and Critical Thinking, Chapter 11: Chi-Square and Analysis of Variance, Chapter 2.4: Graphs That Enlighten and Graphs That Deceive, Chapter 3: Statistics for Describing, Exploring, and Comparing Data, Chapter 3.4: Measures of Relative Standing and Boxplots, Chapter 4.2: Basic Concepts of Probability, Chapter 4.5: Multiplication Rule: Complements and Conditional Probability, Chapter 5: Discrete Probability Distributions, Chapter 5.3: Binomial Probability Distributions, Chapter 5.4: Parameters for Binomial Distributions, Chapter 6: Normal Probability Distributions, Chapter 6.2: The Standard Normal Distribution, Chapter 6.3: Applications of Normal Distributions, Chapter 6.4: Sampling Distributions and Estimators, Chapter 6.7: Normal as Approximation to Binomial, Chapter 7.2: Estimating a Population Proportion, Chapter 7.3: Estimating a Population Mean, Chapter 7.4: Estimating a Population Standard Deviation or Variance, Chapter 8.2: Basics of Hypothesis Testing, Chapter 8.3: Testing a Claim About a Proportion, Chapter 8.4: Testing a Claim about a Mean, Chapter 8.5: Testing a Claim About a Standard Deviation or Variance, Chapter 9.3: Two Means: Independent Samples, Chapter 9.4: Two Dependent Samples (Matched Pairs). ? 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