Elementary Statistics Laboratory Manual (MS-DOS Version)

Abstract

1. Introduction to Macintosh (or DOS) and Minitab. Dotplots. Stem-And-Leaf Plots And Outliers. 2. Variability and Heart Rates. Variability Within And Between Individuals. Effect Of Sample Size. Preliminary Study. Histogram. Boxplot. Numerical Descriptive Statistics. 3. Author, Author. Classification. By-Treatment Dotplots. Scatter Plots. 4. Secrets Behind a Green Thumb. Planned Experiments. Two-Factor Design. Factor Level Selection. Randomization. 5. Real and Perceived Distances. Scatter Plot. Regression. Calibration. Bias. Measurement Error. Variability Within And Between Individuals. 6. Collecting Data Over Time. Time Series. Trends. Cycles. Seasonal Variation. Smoothing A Time Series. 7. A Question of Taste. Binomial Distribution. Proportion. Single-Bind Experiments. Randomization. 8. Sampling and Variation in Manufactured Products. Variation. Sources Of Variation. Outliers. Descriptive Statistics. Sampling Distribution. 9. Exploring Statistical Theory Through Computer Simulation. Sampling Distribution. Comparison Of Estimators. Sample Mean. Sample Median. Central Limit Theorem. Simulation. 10. Planned Experiment. Two-Factor Design. Factor Selection. Randomization. Interaction. 11. Breaking Strength of Facial Tissues. Stem-And-Leaf Plot. Normality Assumption. One Sample t-Test And Confidence Interval. Nonparametric Sign Confidence Interval. 12. Conclusion of Green Thumb Experiment. Two-Factor Design. Treatment Combinations. Multiple Scatter Plots. 13. The Race to Solution. Two Factor Design. Factor-Selection. Treatments. Interaction. Descriptive Statistics. 14. Walk This Way. Blocking. Paired Sample t Confidence Interval And Hypothesis Tests. 15. Absorbency of Paper Towels - a Messy Data Problem. Population. Census. Simple Random Sample. Systematic Random Sample. Side-By-Side Plots. Independent Sample t-Test And Confidence Interval. 16. Variation in Nature. Scatter Plots. Simple Line Regression. Correlation. 17. Random Sampling. Random Sample. Population. Sampling Frame. Proportion. Variability Of A Sample Statistic. Confidence Interval For A Proportion.