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100 Questions (and Answers) About Statistics
About this book
In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.
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Yes, you can access 100 Questions (and Answers) About Statistics by Neil J. Salkind in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgments
- About the Author
- Part 1 Why Statistics?
- Question #1 What Is the Study of Statistics, and Why Is It Important?
- Question #2 How Did Statistics “Get Started”?
- Question #3 What Are Descriptive Statistics, and How Are They Used?
- Question #4 What Are Inferential Statistics, and How Are They Used?
- Question #5 I’m Not Going to Be a Statistician—Why Should I Be Taking a Course in Statistics?
- Question #6 What Statistical Software Packages Should I Consider Using? SPSS? Excel? Others?
- Part 2 Understanding Measures of Central Tendency
- Question #7 What Are Measures of Central Tendency, and Why Are They Used?
- Question #8 What Is an Example of How a Measure of Central Tendency Can Be Used?
- Question #9 What Is the Mean, and How Is It Computed?
- Question #10 What Is an Example of How the Mean Can Be Used?
- Question #11 What Is the Median, and How Is It Computed?
- Question #12 What Is an Example of How the Median Can Be Used?
- Question #13 What Is the Mode, and How Is It Computed?
- Question #14 What Is an Example of How the Mode Can Be Used?
- Question #15 How Can I Decide Which Measure of Central Tendency to Use?
- Question #16 How Can Excel Be Used to Compute Measures of Central Tendency?
- Part 3 Understanding Measures of Variability
- Question #17 What Are Measures of Variability, and Why Are They Used?
- Question #18 What Is an Example of How a Measure of Variability Can Be Used?
- Question #19 What Is the Range, and How Is It Computed?
- Question #20 What Is an Example of How the Range Can Be Used?
- Question #21 What Is the Standard Deviation, and How Is It Computed?
- Question #22 Why Is the Unbiased Estimate of n – 1 Used, Rather Than Just the Biased n, in the Computation of the Standard Deviation and the Variance?
- Question #23 What Is an Example of How the Standard Deviation Can Be Used?
- Question #24 What Is an Example of How the Variance Can Be Used?
- Question #25 How Can Excel Be Used to Compute Measures of Variability?
- Part 4 Illustrating Data
- Question #26 Is a Picture Really Worth a Thousand Words? Why Illustrate Data?
- Question #27 What Are Some Guidelines for Creating Effective Illustrations of Data?
- Question #28 What Are Frequency Distribution and Cumulative Frequency Distribution, and How Do I Create Them?
- Question #29 What Is a Histogram, and How Can I Create One Manually?
- Question #30 How Can I Create a Histogram Using Excel?
- Question #31 What Is an Ogive, and How Can I Create One Using Excel?
- Question #32 What Is a Column Chart, and How Can I Create One Using Excel?
- Question #33 What Is a Bar Chart, and How Can I Create One Using Excel?
- Question #34 What Is a Line Chart, and How Can I Create One Using Excel?
- Question #35 What Is a Pie Chart, and How Can I Create One Using Excel?
- Question #36 What Is a Scatter Chart, and How Can I Create One Using Excel?
- Question #37 How Can I Edit Any Chart I Create in Excel?
- Question #38 How Can I Integrate a Chart Into Other Documents?
- Question #39 When Should I Use a Chart, and What Type Should I Use?
- Part 5 Understanding Relationships
- Question #40 What Is the Correlation Coefficient, and How Is It Used?
- Question #41 What Is an Example of How the Correlation Coefficient Can Be Used?
- Question #42 What Are the Different Types of Correlation Coefficients?
- Question #43 How Can Scatter Charts Help Me Understand Correlation Coefficients?
- Question #44 How Do I Compute a Correlation Coefficient?
- Question #45 How Can I Use Excel to Compute a Correlation Coefficient?
- Question #46 What Is the Most Direct Way to Interpret the Value of a Correlation Coefficient?
- Question #47 What Is the Coefficient of Determination, and How Is It Computed?
- Question #48 What Are Some Important Things to Remember About Understanding and Using Correlation Coefficients?
- Question #49 How Can I Use a Matrix to Display Several Correlation Coefficients?
- Question #50 What Are Some Other Measures of Correlation, and How Are They Used?
- Part 6 Understanding Measurement and Its Importance
- Question #51 Why Is Measurement an Important Topic for Statisticians to Understand?
- Question #52 What Are Levels of Measurement, and Why Are They Important?
- Question #53 What Is Reliability, and What Is an Example of How It Can be Established?
- Question #54 What Are the Different Types of Reliability, and When Are They Used?
- Question #55 How Can the Reliability of a Test Be Increased?
- Question #56 What Is Validity, and What Is an Example of How It Can Be Established?
- Question #57 What Are the Different Types of Validity, and How Are They Computed?
- Question #58 How Can the Validity of a Test Be Increased?
- Question #59 What Is the Relationship Between Reliability and Validity?
- Part 7 Understanding the Role of Hypotheses in Statistics
- Question #60 What Is a Hypothesis, and Why Is It Important in Scientific Research?
- Question #61 What Are the Characteristics of a Good Hypothesis?
- Question #62 How Do a Sample and a Population Differ From One Another?
- Question #63 What Is a Null Hypothesis, and How Is It Used?
- Question #64 What Is a Research Hypothesis, and How Is It Used?
- Question #65 How Do the Null and Research Hypotheses Differ From One Another?
- Part 8 Understanding the Normal Curve and Probability
- Question #66 Why Is Probability Important to the Study of Statistics?
- Question #67 What Is the Normal or Bell-Shaped Curve?
- Question #68 What Are Skewness and Kurtosis, and How Do Distributions Differ on These Characteristics?
- Question #69 What Is the Central Limit Theorem, and Why Is It Important?
- Question #70 What Is a z Score, and How Is It Computed?
- Question #71 How Can Excel Be Used to Compute z Scores?
- Question #72 What Is the Relationship Between z Scores and the Normal Curve?
- Question #73 How Do z Scores Relate to Hypothesis Testing?
- Part 9 Understanding the Concept of Significance
- Question #74 How Does Inference Work, and What Is an Example?
- Question #75 What Is the Concept of Significance, and Why Is It Important?
- Question #76 What Are a Type I and a Type II Error?
- Question #77 What Are the Steps in Applying a Statistical Test to a Research Hypothesis?
- Question #78 What Is the Difference Between Statistical Significance and Meaningfulness?
- Question #79 What Is the Excel ToolPak, and How Can I Use It to Perform Tests of Inference?
- Question #80 What Is an Excel Function, and How Can I Use It to Perform Tests of Inference?
- Part 10 Understanding Differences Between Groups
- Question #81 How Do I Know Which Statistical Test to Use?
- Question #82 What Is a t-Test Between Independent Means, and What Is an Example of How It Is Used?
- Question #83 How Can I Use Excel to Test for the Difference Between Independent Means?
- Question #84 What Is a t-Test Between Dependent Means, and What Is an Example of How It Is Used?
- Question #85 How Can I Use Excel to Test for the Difference Between Dependent Means?
- Question #86 What Is Simple Analysis of Variance, and What Is an Example of How It Is Used?
- Question #87 How Can I Use Excel to Calculate Simple Analysis of Variance?
- Question #88 What Is Factorial Analysis of Variance, and What Is an Example of How It Is Used?
- Question #89 How Can I Use Excel to Calculate Factorial Analysis of Variance?
- Question #90 How Can I Use Nonparametric Tests to Test for Significance?
- Question #91 What Is Effect Size, and Why Is It Important?
- Part 11 Looking at Relationships Between Variables
- Question #92 How Are Relationships Tested for Significance Using the Correlation Coefficient, and What Is an Example of How the Correlation Coefficient Is Used?
- Question #93 How Can I Use Excel to Test for the Significance of the Correlation Coefficient?
- Question #94 What Is Simple Regression, and What Is an Example of How It Can Be Used?
- Question #95 How Can I Use Excel to Calculate a Simple Regression Equation?
- Part 12 Other Statistical Procedures
- Question #96 What Is Multivariate Analysis of Variance (MANOVA), and How Is It Used?
- Question #97 What Is Analysis of Covariance (ANCOVA), and How Is It Used?
- Question #98 What Is Repeated Measures Analysis of Variance, and How Is It Used?
- Question #99 What Is Multiple Regression, and How Is It Used?
- Question #100 What Is Factor Analysis, and How Is It Used?
- Index
- Publisher Note