Elementary Statistics : A Brief Version (ISE) （6TH）

Bluman, Allan G.

McGraw-Hill（2012/02発売）

• 商品コード 9780071315456

Full Description

ELEMENTARY STATISTICScourses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, along with increased focus on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses. The 6th edition of Bluman, Elementary Statistics: A Brief Version provides a significant leap forward in terms of online course management with McGraw-Hill's homework platform, Connect Statistics -- Hosted by ALEKS. Statistic instructors served as digital contributors to choose the problems that will be available, authoring each algorithm and providing stepped out solutions that go into great detail and are focused on areas where students commonly make mistakes. From there, the ALEKS Corporation reviewed each algorithm to ensure accuracy.The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught.

Contents

Table of ContentsStatistics1.1 Descriptive and Inferential Statistics1.2 Variables and Types of Data1.3 Data Collection and Sampling Techniques1.4 Observational and Experimental Studies1.5 Uses and Misuses of Statistics1.6 Computers and Calculators Chapter 1 Summary Chapter 2 Frequency Distributions and Graphs2.1 Organizing Data2.2 Histograms, Frequency Polygons, and Ogives2.3 Other Types of Graphs2.4 Paired Data and Scatter Plots Chapter 2 Summary Chapter 3 Data Description 3.1 Measures of Central Tendency 3.2 Measures of Variation 3.3 Measures of Position 3.4 Exploratory Data Analysis Chapter 3 Summary Chapter 4 Probability and Counting Rules 4.1 Sample Spaces and Probability 4.2 The Addition Rules for Probability 4.3 The Multiplication Rules and Conditional Probability 4.4 Counting Rules 4.5 Probability and Counting Rules Chapter 4 Summary Chapter 5 Discrete Probability Distributions 5.1 Probability Distributions 5.2 Mean, Variance, Standard Deviation, and Expectation 5.3 The Binomial distribution Chapter 5 Summary Chapter 6 The Normal Distribution 6.1 Normal Distributions 6.2 Applications of the Normal Distribution 6.3 The Central Limit Theorem 6.4 The Normal Approximation to the Binomial Distribution Chapter 6 Summary Chapter 7 confidence Intervals and Sample Size 7.1 Confidence Intervals for the Mean When sigma Is Known 7.2 Confidence Intervals for the Mean When sigma Is Unknown 7.3 Confidence Intervals and Sample Size for Proportions 7.4 Confidence Intervals for Variances and Standard Deviations Chapter 7 Summary Chapter 8 Hypothesis Testing 8.1 Steps in Hypothesis Testing - Traditional Method 8.2 z Test for a Mean 8.3 t Test for a Mean 8.4 z Test for a Proportion & nbs p; 8.5 chi2 Test for a Variance or Standard Deviation 8.6 Confidence Intervals and Hypothesis Testing Chapter 8 Summary Chapter 9 Testing the Difference Between Two Means, Two Proportions, and Two Variances 9.1 Testing the Difference Between Two Means: Using the z Test 9.2 Testing the Difference Between Two Means of Independent Samples 9.3 Testing the Difference Between Two Means: Dependent Samples 9.4 Testing the Difference Between Two Variances Chapter 9 Summary Chapter 10 Correlation and Regression 10.1 Correlation 10.2 Regression 10.3 Coefficient of Determination and Standard Error of the Estimate Chapter 10 Summary Chapter 11 Chi-Square and Analysis of Variance (ANOVA) 11.1 Test for Goodness of Fit 11.2 Test Using Contingency Tables 11.3 Analysis of Variance (ANOVA) Chapter 11 SummaryNER(01): WOW