
Nguồn ngoài
Interactive Lecture Notes for Introductory Statistics
- Tác giả
- Anton Butenko
- Nhà xuất bản
- Mt. San Jacinto College
- Nguồn
- LibreTexts
- Ngôn ngữ
- EN
- Danh mục
- Khoa học cơ bản
Mục lục· 76 mục
- 01: Introduction to Statistics
- 1.01: Introduction to Statistics
- 1.02: Sampling Designs
- 1.03: Experimental Designs
- 1.04: Types of Data
- 02: Visual Summaries of Data
- 2.01: Visual Summaries of Qualitative Data
- 2.02: Visual Summaries of Quantitative Data
- 2.03: Other Charts
- 2.04: Distribution Shapes
- 2.05: Organizing Bivariate Data
- 2.06: Misleading Graphs
- 03: Numerical Summaries of Data
- 3.01: Measures of Center
- 3.02: Parameter and Statistic
- 3.03: Measures of Variation
- 3.04: Interpreting the Mean and Standard Deviation
- 3.05: Measures of Relative Standing
- 3.06: Five-Number Summaries and Boxplots
- 04: Probability Concepts
- 4.01: Introduction to Probability
- 4.02: Finding the Probability
- 4.03: Probability Rules
- 4.04: Probabilities from Frequency Tables
- 4.05: Conditional Probability and Multiplication Rules
- 05: Combinatorics Concepts
- 5.01: Introduction to Combinatorics
- 5.02: Permutations and Combinations
- 5.03: Tossing a Coin
- 06: Discrete Random Variables
- 6.01: Discrete Random Variables
- 6.02: Applications of Discrete Random Variables
- 6.03: Binomial Random Variables
- 07: Continuous Random Variables
- 7.01: New Page
- 7.02: New Page
- 7.03: New Page
- 08: Normal Distributions
- 8.01: Normal Random Variables
- 8.02: Applications of Normal Random Variables
- 8.03: Normality Plots
- 8.04: Approximating Binomial Random Variables
- 09: The Central Limit Theorem
- 9.01: The Central Limit Theorem for Sample Means
- 9.02: The Central Limit Theorem for Sample Sums
- 9.03: The Central Limit Theorem for Sample Proportions
- 10: Estimating Parameters
- 10.01: Estimating the Population Mean
- 10.02: The One Mean T Procedure
- 10.03: The One Proportion Z Procedure
- 10.04: The One Variance Chi-Squared Procedure
- 10.05: The Summary of Confidence Intervals
- 11: Hypothesis Testing
- 11.01: One Mean Z Test
- 11.02: One Mean T Test
- 11.03: One Proportion Z Test
- 11.04: One Variance Chi-Squared Test
- 11.05: The Summary of Hypothesis Testing for One Parameter
- 12: Inferences about Two Parameters
- 12.01: Two Variances F Test
- 12.02: Two Proportions Z Test
- 12.03: Two Means Z Test
- 12.04: Two Means T Pooled Tesst
- 12.05: Two Means T Non-Pooled Test
- 12.06: Two Paired Means T Test
- 12.07: The Summary of Hypothesis Testing for Two Parameters
- 13: Chi-Squared Procedures
- 13.01: The Goodness-of-Fit Test
- 13.02: Homogeneity Test
- 13.03: Test for Independence
- 14: ANOVA Procedures
- 14.01: One-Way ANOVA
- 14.02: Two-Way ANOVA
- 15: Regression Analysis
- 15.01: Introduction to Regression Analysis
- 15.02: Linear Regression Analysis