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Introductory Statistics
This introductory statistics text is intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal distribution, linear regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.
- Author
- Hannah Seidler-Wright
- Publisher
- Chaffey College
- Source
- LibreTexts
- License
- CC BY-NC-SA
- Language
- EN
- Category
- Basic Sciences
Contents· 90 sections
- 01: Designs of Statistical Studies
- 1.01: Welcome to Statistics
- 1.1.01: Exercises
- 1.02: The Statistical Analysis Process
- 1.2.01: Exercises
- 1.03: Research Questions Types of Statistical Studies and Stating Reasonable Conclusions
- 1.3.01: Exercises
- 1.04: Random Sampling and Bias
- 1.4.01: Exercises
- 1.05: Experiments and Random Assignment
- 1.5.01: Exercises
- 02: Descriptive Statistics
- 2.01: Descriptive Statistics - Dotplots and Histograms
- 2.1.01: Exercises
- 2.02: Quantifying the Center of a Distribution
- 2.2.01: Exercises
- 2.03: Quantifying Variability Relative to the Median
- 2.3.01: Exercises
- 2.04: Quantifying Variability Relative to the Mean
- 2.4.01: Exercises
- 03: Probability
- 3.01: Introduction to Probability
- 3.1.01: Exercises
- 3.02: Marginal Joint and Conditional Probability
- 3.2.01: Exercises
- 3.03: The Addition and Complement Rules
- 3.3.01: Exercises
- 04: Discrete Probability Distributions
- 4.01: Discrete Random Variables
- 4.1.01: Exercises
- 4.02: The Geometric Distribution
- 4.2.01: Exercises
- 4.03: The Binomial Distribution
- 4.3.01: Exercises
- 05: Continuous Probability Distributions and The Normal Distribution
- 5.01: Probability Distributions of Continuous Random Variables
- 5.1.01: Exercises
- 5.02: Characteristics of the Normal Distribution and The Empirical Rule
- 5.2.01: Exercises
- 5.03: The Standard Normal Distribution
- 5.3.01: Exercises
- 5.04: Finding Critical Values from the Normal Distribution
- 5.4.01: Exercises
- 06: Inference Involving a Single Population Proportion
- 6.01: The Sampling Distribution of Sample Proportions
- 6.1.01: Exercises
- 6.02: Estimating a Population Proportion
- 6.2.01: Exercises
- 6.03: Introduction to Hypothesis Testing
- 6.3.01: Exercises
- 6.04: Hypothesis Tests for a Single Population Proportion
- 6.4.01: Exercises
- 6.05: Conclusions1
- 6.5.01: Exercises
- 07: Inference Involving a Single Population Mean
- 7.01: The Sampling Distribution of Sample Means
- 7.1.01: Exercises
- 7.02: The Students T-Distribution
- 7.2.01: Exercises
- 7.03: Estimating a Population Mean
- 7.3.01: Exercises
- 7.04: Hypothesis Tests for a Single Population Mean
- 7.4.01: Exercises
- 7.05: Conclusions2
- 7.5.01: Exercises
- 08: Inference Involving Two Population Parameters
- 8.01: Paired Samples
- 8.1.01: Exercises
- 8.02: Distributions of Differences
- 8.2.01: Exercises
- 8.03: Inference for a Difference in Two Population Means
- 8.3.01: Exercises
- 8.04: Inference for a Difference in Two Population Proportions
- 8.4.01: Exercises
- 09: Linear Regression
- 9.01: Scatterplots
- 9.1.01: Exercises
- 9.02: Quantifying Direction and Strength
- 9.2.01: Exercises
- 9.03: The Line of Best Fit
- 9.3.01: Exercises
- 10: Inference Involving More Than Two Parameters
- 10.01: The Chi-Square Distribution
- 10.1.01: Exercises
- 10.02: Goodness-of-Fit
- 10.2.01: Exercises
- 10.03: Testing for Independence
- 10.3.01: Exercises
- 10.04: ANOVA
- 10.4.01: Exercises