Elementary Statistics Using the Ti-83/84 Plus Calculator

by Triola, Mario F.

• ISBN13: 9780321462572
• ISBN10: 0321462572
• Edition: 2nd
• Format: Hardcover w/CD
• Copyright: 2008-01-01
• Publisher: Addison Wesley

Summary

Key Message: Elementary Statistics Using the TI-83/84 Plus Calculator,Second Edition, guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. Known for being easy both to teach and to learn from,Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition,features an engaging writing style, an abundance of relevant exercises with real data, and an emphasis on interpretation of statistical results. In addition, this text provides extensive information on using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the calculator. Key Topics:Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Multinomial Experiments and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistical Process Control; Projects, Procedures, Perspectives Market:For all readers interested in Statistics

Table of Contents

Introduction to Statistics

Overview

Types of Data Critical Thinking

Design of Experiments

Introduction to the TI-83/84 Plus Calculator

Summarizing and Graphing Data

Overview

Frequency Distributions

Histograms

Statistical Graphics

Statistics for Describing, Exploring, and Comparing Data

Overview

Measures of Center

Measures of Variation

Measures of Relative Standing

Exploratory Data Analysis (EDA)

Probability

Overview

Fundamentals

Addition Rule

Multiplication Rule: Basics

Multiplication Rule: Complements and Conditional Probability

Probabilities Through Simulations

Counting

Probability Distributions

Overview

Random Variables

Binomial Probability Distributions

Mean, Variance, and Standard Deviation for the Binomial Distribution

The Poisson Distribution

Normal Probability Distributions

Overview

The Standard Normal Distribution

Applications of Normal Distributions

Sampling Distributions and Estimators

The Central Limit Theorem

Normal as Approximation to Binomial

Assessing Normality

Estimates and Sample Sizes

Overview

Estimating a Population Proportion

Estimating a Population Mean: s Known

Estimating a Population Mean: s Not Known

Estimating a Population Variance

Hypothesis Testing

Overview

Basics of Hypothesis Testing

Testing a Claim About a Proportion

Testing a Claim About a Mean: s Known

Testing a Claim About a Mean: s Not Known

Testing a Claim About Variation

Inferences from Two Samples

Overview

Inferences About Two Proportions

Inferences About Two Means: Independent Samples

Inferences from Matched Pairs

Comparing Variation in Two Samples

Correlation and Regression

Overview

Correlation

Regression

Variation and Prediction Intervals

Multiple Regression

Modeling

Multinomial Experiments and Contingency Tables

Overview

Multinomial Experiments: Goodness-of-Fit Contingency Tables: Independence and Homogeneity

McNemar's Test for Matched Pairs

Analysis of Variance

Overview

One-Way ANOVA

Two-Way ANOVA

Nonparametric Statistics

Overview

Sign Test

Wilcoxon Signed-Ranks Test for Matched Pairs

Wilcoxon Rank-Sum Test for Two Independent Samples

Rank Correlation

Runs Test for Randomness

Statistical Process Control

Overview

Control Charts for Variation and Mean

Control Charts for Attributes

Projects, Procedures, Perspectives

Projects

Procedures

Perspectives

Appendices

Tables

Data Sets

Glossary

Bibliography

Answers to Odd-Numbered Exercises (and all Review Exercises and all Cumulative Review Exercises)

Credits

Index

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