Table of Contents

Introduction to Statistics (and TI Calculators)     1
Key Differences between calculator models     1
Keyboard and Notation     2
Setting the Correct Mode     3
Screen Contrast Adjustment and Battery Check     4
A Special Word about the TI-89 Titanium     4
Random Samples     5
Home Screen Calculations and Storing Results     7
Storing Lists of Data     9
Deleting Lists     13
What Can Go Wrong?     15
Summarizing and Graphing Data     16
Creating a Histogram - TI-83/84     16
Creating a Histogram - TI-89     18
Changing the Number of Bars     19
Histograms for Tabulated Data     20
Frequency Polygons     21
Dotplots and Stemplots     22
Pareto Charts     23
Pie Charts     23
Time Series Graphs     24
What Can Go Wrong?     24
Statistics for Describing, Exploring and Comparing Data     26
Measures of Center     26
Measures of Variation     28
Measures of Relative Standing     30
Boxplots and Five-Number Summary     31
What Can Go Wrong?     32
Probability     33
Two Useful Functions     33
Probabilities Through Simulation     34
Counting     37
What Can Go Wrong?     38
Probability Distributions     39
Probability Distributions by Tables     39
Binomial Distribution     41
Poisson Distribution     43
What Can Go Wrong?     44
Normal Probability Distributions     45
Finding Probabilities for a Normal Random Variable     45
Sketching Normal Areas     47
Finding Values of a Normal R. V. (Inverse Normal Problems)     47
Central Limit Theorem     49
Normal Approximation of a Binomial Distribution     50
Normal Quantile Plots     51
Generating Random Values from a Normal Distribution     52
What Can Go Wrong?     53
Estimates and Sample Sizes     54
Estimating a Population Proportion     54
Estimating a Population Mean: [Sigma] Known     56
Estimating a Population Mean: [Sigma] Not Known     58
Estimating a Population Variance     60
What Can Go Wrong?     61
Hypothesis Testing     62
Testing a Claim about a Proportion     62
Testing a Claim about a Mean: [Sigma] Known     64
Testing a Claim about a Mean: [Sigma] Not Known     65
Testing a Claim about a Standard Deviation or Variance     66
What Can Go Wrong?     67
Inferences from Two Samples     68
Inferences about Two Proportions     68
Inferences about Two Means: Independent Samples     69
Inferences about Two Means: Matches Pairs     72
Comparing Variances in Two Samples     73
What Can Go Wrong?     74
Correlation and Regression     75
Simple Linear Regression and Correlation     75
Multiple Regression     79
Multinomial Experiments and Contingency Tables     84
Multinomial Experiments: Goodness-of-Fit     84
Contingency Tables     86
What Can Go Wrong?     89
Analysis of Variance     90
One-Way ANOVA     90
One-Way ANOVA     91
Graphing a Means Plot     93
Nonparametric Statistics     95
Sign Test     95
Wilcoxon Signed-Ranks Test for Matched Pairs     97
Wilcoxon Rank-Sum Test for Two Samples     99
Kruskal-Wallis Test     100
Rank Correlation     101
Runs Test for Randomness     102
Statistical Process Control     103
Run Charts     103
Monitoring Variation: the R Chart     104
Monitoring Process Mean: the X Chart     104
Attributes: the P Chart     105
Appendix     106
Loading Data or Programs - TI-83/84     106
Using the Data Apps - TI-83/84     107
Grouping and Ungrouping - TI-83/84     108
Using .txt files     109
Index     110