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Statistics Using Technology
Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.
- Author
- Kathryn Kozak
- Publisher
- Coconino Community College
- Source
- LibreTexts
- License
- CC BY-SA
- Language
- EN
- Category
- Basic Sciences
Contents· 52 sections
- 01: Statistical Basics
- 1.01: What is Statistics
- 1.02: Sampling Methods
- 1.03: Experimental Design
- 1.04: How Not to Do Statistics
- 02: Graphical Descriptions of Data
- 2.01: Qualitative Data
- 2.02: Quantitative Data
- 2.03: Other Graphical Representations of Data
- 03: Examining the Evidence Using Graphs and Statistics
- 3.01: Measures of Center
- 3.02: Measures of Spread
- 3.03: Ranking
- 04: Probability
- 4.01: Empirical Probability
- 4.02: Theoretical Probability
- 4.03: Conditional Probability
- 4.04: Counting Techniques
- 05: Discrete Probability Distributions
- 5.01: Basics of Probability Distributions
- 5.02: Binomial Probability Distribution
- 5.03: Mean and Standard Deviation of Binomial Distribution
- 06: Continuous Probability Distributions
- 6.01: Uniform Distribution
- 6.02: Graphs of the Normal Distribution
- 6.03: Finding Probabilities for the Normal Distribution
- 6.04: Assessing Normality
- 6.05: Sampling Distribution and the Central Limit Theorem
- 07: One-Sample Inference
- 7.01: Basics of Hypothesis Testing
- 7.02: One-Sample Proportion Test
- 7.03: One-Sample Test for the Mean
- 08: Estimation
- 8.01: Basics of Confidence Intervals
- 8.02: One-Sample Interval for the Proportion
- 8.03: One-Sample Interval for the Mean
- 09: Two-Sample Interference
- 9.01: Two Proportions
- 9.02: Paired Samples for Two Means
- 9.03: Independent Samples for Two Means
- 9.04: Which Analysis Should You Conduct
- 10: Regression and Correlation
- 10.01: Regression
- 10.02: Correlation
- 10.03: Inference for Regression and Correlation
- 11: Chi-Square and ANOVA Tests
- 11.01: Chi-Square Test for Independence
- 11.02: Chi-Square Goodness of Fit
- 11.03: Analysis of Variance (ANOVA)
- 12: Appendix- Critical Value Tables
- 12.01: Critical Values for t-Interval
- 12.02: Normal Critical Values for Confidence Levels