J. Susan Milton, Jesse C. Arnold
Student Solutions Manual for Use with Introduction to Probability and Statistics
Herausgeber: Stewart, M. Jill
J. Susan Milton, Jesse C. Arnold
Student Solutions Manual for Use with Introduction to Probability and Statistics
Herausgeber: Stewart, M. Jill
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Gives detailed solutions to odd numbers problems not appearing in the appendix of the main text.
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Gives detailed solutions to odd numbers problems not appearing in the appendix of the main text.
Produktdetails
- Produktdetails
- Verlag: McGraw Hill LLC
- 4th edition
- Seitenzahl: 252
- Erscheinungstermin: Oktober 2002
- Englisch
- Abmessung: 275mm x 213mm x 13mm
- Gewicht: 594g
- ISBN-13: 9780072468380
- ISBN-10: 0072468386
- Artikelnr.: 22004288
- Verlag: McGraw Hill LLC
- 4th edition
- Seitenzahl: 252
- Erscheinungstermin: Oktober 2002
- Englisch
- Abmessung: 275mm x 213mm x 13mm
- Gewicht: 594g
- ISBN-13: 9780072468380
- ISBN-10: 0072468386
- Artikelnr.: 22004288
J.Susan Milton is professor Emeritus of Satatics at Radford University. Dr. Milton recieved the B.S. degree from Western Carolina University, the M.A. degree from the University of North Carolina at Chapel Hill, and the Ph.D degree in Statistics from Virginia Polytechnic Institute and State university. She is a Danforth Associate and is a recipient of the Radford University Foundation Award for Excellence in Teaching. Dr. Milton is the author of Statistical Methods in the Biological and Health Sciences as well as Introduction to statistics, Probability with the Essential Analysis, and a first Course in the Theory of Linear Statistical Models.
1 Introduction to Probability and Counting
2 Some Probability Laws
3 Discrete Distributions
4 Continuous Distributions
5 Joint Distributions
6 Descriptive Statistics
7 Estimation
8 Inferences on the Mean and Variance of a Distribution
9 Inferences on Proportions
10 Comparing Two Means and Two Variances
11 Simple Linear Regression and Correlation
12 Multiple Linear Regression Models
13 Analysis of Variance
14 Factorial Experiments
15 Categorical Data
16 Statistical Quality Control
2 Some Probability Laws
3 Discrete Distributions
4 Continuous Distributions
5 Joint Distributions
6 Descriptive Statistics
7 Estimation
8 Inferences on the Mean and Variance of a Distribution
9 Inferences on Proportions
10 Comparing Two Means and Two Variances
11 Simple Linear Regression and Correlation
12 Multiple Linear Regression Models
13 Analysis of Variance
14 Factorial Experiments
15 Categorical Data
16 Statistical Quality Control
1 Introduction to Probability and Counting
2 Some Probability Laws
3 Discrete Distributions
4 Continuous Distributions
5 Joint Distributions
6 Descriptive Statistics
7 Estimation
8 Inferences on the Mean and Variance of a Distribution
9 Inferences on Proportions
10 Comparing Two Means and Two Variances
11 Simple Linear Regression and Correlation
12 Multiple Linear Regression Models
13 Analysis of Variance
14 Factorial Experiments
15 Categorical Data
16 Statistical Quality Control
2 Some Probability Laws
3 Discrete Distributions
4 Continuous Distributions
5 Joint Distributions
6 Descriptive Statistics
7 Estimation
8 Inferences on the Mean and Variance of a Distribution
9 Inferences on Proportions
10 Comparing Two Means and Two Variances
11 Simple Linear Regression and Correlation
12 Multiple Linear Regression Models
13 Analysis of Variance
14 Factorial Experiments
15 Categorical Data
16 Statistical Quality Control