Minitab 14 Manual for use with Elementary Statistics: A Step-By-Step Approach,9780072549089

Minitab 14 Manual for use with Elementary Statistics: A Step-By-Step Approach

by ;
Edition: 5th
ISBN13: 9780072549089
ISBN10: 0072549084
Format: Paperback
Pub. Date: 2004-01-06
Publisher(s): McGraw-Hill Science/Engineering/Math
Availability: This title is currently not available.
List Price: $55.98

Rent Textbook

Select for Price
Add to Cart
There was a problem. Please try again later.

New Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

Table of Contents

MINITAB Manual for Elementary Statistics iii
Introduction to MINITAB
1(22)
Start MINITAB
1(6)
Using Menus
7(1)
Toolbars and the Session Window
8(3)
Worksheets
11(4)
Edit a Worksheet
15(5)
Data Analysis
20(3)
Frequency Distributions and Graphs
23(30)
Introduction: The Least You Need to Know about Tables and Graphs
23(11)
Frequency Distributions (Tables)
34(3)
Graphs for Quantitative Data
37(6)
Other Graphs
43(7)
Data Analysis
50(3)
Textbook Problems Suitable for MINITAB
52(1)
Data Description
53(18)
Introduction: The Least You Need to Know About Data Description
53(1)
Measuring Central Tendency and Variation
53(4)
Measures of Central Tendency and Variation for Frequency Distributions
57(5)
Measures of Position
62(2)
Exploratory Data Analysis
64(7)
Textbook Problems Suitable for MINITAB
69(2)
Probability
71(12)
Introduction: The Least You Need to Know About Probability
71(1)
Calculate Relative Frequencies (from a distribution)
71(1)
Addition Rule for Probability
72(5)
Crosstabulation and a Control Variable
77(6)
Textbook Problems Suitable for Minitab
81(2)
Discrete Probability Distributions
83(20)
Introduction: The Least You Need to Know About Probability Distributions
83(1)
Calculate Empirical Probabilities from a Frequency Distribution
84(1)
Mean, Variance, and Standard Deviation of a Discrete Probability Distribution
84(7)
Binomial Distributions
91(6)
Other Distributions
97(6)
Textbook Problems Suitable for MINITAB
101(2)
The Normal Distribution
103(10)
Introduction
103(1)
The Standard Normal Distribution
103(1)
The Standard Normal Distribution
104(4)
Applications of the Normal Distribution
108(2)
The Central Limit Theorem
110(3)
Confidence Interval Estimates and Sample Size
113(14)
Introduction
113(1)
Confidence Interval for the Mean, σ known
113(3)
Calculate a Confidence Interval for the Mean, Sigma Unknown, and n < 30
116(2)
Confidence Intervals and Sample Size for Proportions
118(2)
Confidence Intervals for Variance and Standard Deviations
120(3)
Data Analysis
123(4)
One-Sample Hypothesis Tests
127(16)
Introduction
127(1)
The Hypothesis Testing Procedure
127(1)
Testing a Hypothesis About a Mean (Quantitative variable)
128(2)
One-Sample t-test; σ is Unknown and n < 30
130(2)
One-Sample Z test for a Proportion
132(2)
Chi-square Test for a Variance or Standard Deviation; No Raw Data
134(5)
Data Analysis
139(4)
Testing the Difference Between Two Parameters
143(16)
Introduction
143(1)
Testing the Difference Between Two Means: Large Samples
143(3)
Testing the Difference Between Two Variances: the F Distribution
146(2)
Testing the Difference Between Two Means: Small Independent Samples
148(1)
Testing the Difference Between Two Means: Dependent Samples
149(2)
Testing the Difference Between Proportions
151(1)
Data Analysis
152(7)
Linear Correlation and Regression
159(12)
Introduction
159(1)
Scatter Plots
159(1)
Calculate the Correlation Coefficient, r
160(1)
Regression Analysis
160(6)
Data Analysis
166(2)
Multiple Regression (Two or More Independent Variables)
168(3)
Other Chi-Square Tests
171(12)
Introduction
171(1)
Goodness of Fit
171(4)
Tests Using Contingency Tables
175(8)
Analysis of Variance
183(12)
Introduction
183(1)
One-Way Analysis of Variance or ANOVA
183(1)
The Tukey Test
184(1)
Two-Way Analysis of Variance
185(4)
Data Analysis
189(6)
Nonparametric Statistics
195(16)
Introduction
195(1)
Ranking and Ranks
195(1)
Sign Test
196(2)
Wilcoxon Rank Sum Test (also called Mann-Whitney)
198(2)
Wilcoxon Signed-Rank Test
200(1)
The Kruskal-Wallis Test (also known as the H test)
201(4)
Rank Correlation and the Runs Test for Randomness
205(3)
Data Analysis
208(3)
Sampling and Simulation
211(11)
Introduction:
211(1)
Common Sampling Techniques
211(5)
Simulation and Monte Carlo Techniques
216(6)
Appendix: Macro listings 222(2)
Index 224

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.