Schaum's Outline of Theory and Problems of Statistics (Schaum's Outlines) - Softcover

Über die Autorin bzw. den Autor

Murray Speigel, Ph.D., was Former Professor and Chairman of the Mathematics Department at Rensselaer Polytechnic Institute, Hartford Graduate Center.

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Master statistics with Schaum's­­the high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's!

If you don't have a lot of time but want to excel in class, this book helps you:

• Brush up before tests
• Find answers fast
• Study quickly and more effectively
• Get the big picture without spending hours poring over lengthy textbooks

Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format­­without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's Outlines let you study at your own pace and remind you of all the important facts you need to remember­­fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams. Inside, you will find:

• 508 solved problems, updated for today's students
• 694 additional practice problems
• Computerized solutions using Minitab software
• Easy-to-follow explanations of analyses of time series, the statistical process, control charts, and process capability computation

If you want top grades and a thorough understanding of statistics, this powerful study tool is the best tutor you can have!

Chapters include:

• Variables and Graphs
• Frequency Distributions
• The Mean, Median, Mode, and Other Measures of Central Tendency
• The Standard Deviation and Other Measures of Dispersion
• Moments, Skewness, and Kurtosis
• Elementary Probability Theory
• The Binomial, Normal, and Poisson Distributions
• Elementary Sampling Theory
• Statistical Estimation Theory
• Statistical Decision Theory
• Small Sampling Theory
• The Chi-Square Test
• Curve Fitting and the Method of Least Squares
• Correlation Theory
• Multiple and Partial Correlation
• Analysis of Variance
• Nonparametric Tests
• Analysis of Time Series

Statistical Process Control and Process Capability