Understanding Basic Statistics （9TH）

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Understanding Basic Statistics （9TH）

Brase, Charles Henry/ Brase, Corrinne Pellillo/ Dolor, Jason

ウェブストア価格 ¥54,168（本体¥49,244）
Brooks/Cole（2023/02発売）
外貨定価 US$ 259.95
ポイント 492pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 688 p.
言語 ENG
商品コード 9780357757352
DDC分類 519.5

Full Description

Now you can master the basics of statistics and learn how to use this knowledge in real life situations with Brase/Brase/Dolor/Siebert's UNDERSTANDING BASIC STATISTICS, 9th Edition. This updated edition uses a reader-friendly approach filled with clear guidance and informal advice designed to help you grasp the concepts and see how they relate to your life. You learn to think statistically and perhaps even enjoy a subject that once inspired anxiety. Updates, learning features and real data from a variety of sources, including journals and news sources, keep learning interesting as you refine your critical thinking and statistical skills. Optional coverage demonstrates how to use graphing calculators, Microsoft® Excel®, JMP®, MINITAB®, MINITAB EXPRESS and SPSS®. Complete online resources include labs, projects and videos as part of WebAssign. The Statistical Analysis and Learning Tool (SALT) is also available to help you manipulate data sets and visualize statistics and the meaning behind the data.

1. GETTING STARTED.
What Is Statistics? Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA.
Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION.
Measures of Central Tendency: Mode, Median, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots.
4. CORRELATION AND REGRESSION.
Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination.
5. ELEMENTARY PROBABILITY THEORY.
What Is Probability? Some Probability Rules-Compound Events. Trees and Counting Techniques.
6. THE BINOMIAL DISTRIBUTION AND RELATED TOPICS.
Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Properties of the Binomial Distribution.
7. NORMAL CURVES AND SAMPLING DISTRIBUTIONS.
Part I: Graphs of Normal Probability Distributions. Standard Units and Areas under the Standard Normal Distribution. Areas Under Any Normal Curve. Part II: Sampling Distributions. The Central Limit Theorem. Normal Approximation to Binomial Distribution and to p ^Distribution.
8. ESTIMATION.
Estimating µ When s Is Known. Estimating µ When s Is Unknown. Estimating p in the Binomial Distribution.
9. HYPOTHESIS TESTING.
Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p.
10. INFERENCES ABOUT DIFFERENCES.
Tests Involving Paired Differences (Dependent Samples). Inferences about the Difference of Two Means µ1 - µ2. Inferences about the Difference of Two Proportions p1 - p2.
11. ADDITIONAL TOPICS USING INFERENCE.
Part I: Inferences Using the Chi-Square Distribution.
Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing a Single Variance or Standard Deviation.
Part II: Inferences Relating to Linear Regression.
Inferences for Correlation and Regression.