Statistics 13th Edition McClave Test Bank

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Product details:

• ISBN-10 ‏ : ‎ 0134080211
• ISBN-13 ‏ : ‎ 978-0134080215
• Author: Dr. Jim McClave; Dr. Terry Sincich

A Contemporary Classic

Classic, yet contemporary; theoretical, yet applied–McClave & Sincich’s Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.

Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.

Table Of Contents:

1. Chapter 1 Statistics, Data, and Statistical Thinking
2. 1.1 The Science of Statistics
3. 1.2 Types of Statistical Applications
4. 1.3 Fundamental Elements of Statistics
5. 1.4 Types of Data
6. 1.5 Collecting Data: Sampling and Related Issues
7. 1.6 The Role of Statistics in Critical Thinking and Ethics
8. Statistics in Action: Social Media Network Usage—Are You Linked In?
9. Using Technology: MINITAB: Accessing and Listing Data
10. Chapter 2 Methods for Describing Sets of Data
11. 2.1 Describing Qualitative Data
12. 2.2 Graphical Methods for Describing Quantitative Data
13. 2.3 Numerical Measures of Central Tendency
14. 2.4 Numerical Measures of Variability
15. 2.5 Using the Mean and Standard Deviation to Describe Data
16. 2.6 Numerical Measures of Relative Standing
17. 2.7 Methods for Detecting Outliers: Box Plots and z-Scores
18. 2.8 Graphing Bivariate Relationships (Optional)
19. 2.9 Distorting the Truth with Descriptive Statistics
20. Statistics in Action: Body Image Dissatisfaction: Real or Imagined?
21. Using Technology: MINITAB: Describing Data
22. TI-83/TI–84 Plus Graphing Calculator: Describing Data
23. Chapter 3 Probability
24. 3.1 Events, Sample Spaces, and Probability
25. 3.2 Unions and Intersections
26. 3.3 Complementary Events
27. 3.4 The Additive Rule and Mutually Exclusive Events
28. 3.5 Conditional Probability
29. 3.6 The Multiplicative Rule and Independent Events
30. 3.7 Some Additional Counting Rules (Optional)
31. Bayes’s Rule (Optional)
32. Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?
33. Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations
34. Chapter 4 Discrete Random Variables
35. 4.1 Two Types of Random Variables
36. 4.2 Probability Distributions for Discrete Random Variables
37. 4.3 Expected Values of Discrete Random Variables
38. 4.4 The Binomial Random Variable
39. 4.5 The Poisson Random Variable (Optional)
40. 4.6 The Hypergeometric Random Variable (Optional)
41. Statistics in Action: Probability in a Reverse Cocaine Sting: Was Cocaine Really Sold?
42. Using Technology: MINITAB: Discrete probabilities
43. TI-83/TI-84 Plus Graphing Calculator: Discrete Random Variables and Probabilities
44. Chapter 5 Continuous Random Variables
45. 5.1 Continuous Probability Distributions
46. 5.2 The Uniform Distribution
47. 5.3 The Normal Distribution
48. 5.4 Descriptive Methods for Assessing Normality
49. 5.5 Approximating a Binomial Distribution with a Normal Distribution (Optional)
50. 5.6 The Exponential Distribution (Optional)
51. Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized?
52. Using Technology: MINITAB: Continuous Random Variable Probabilities and Normal Probability Plots
53. TI–83/TI–84 Plus Graphing Calculator: Normal Random Variable and Normal Probability Plots
54. Chapter 6 Sampling Distributions
55. 6.1 The Concept of a Sampling Distribution
56. 6.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance
57. 6.3 The Sampling Distribution of x and the Central Limit Theorem
58. 6.4 The Sampling Distribution of the Sample Proportion
59. Statistics in Action: The Insomnia Pill: Is It Effective?
60. Using Technology: MINITAB: Simulating a Sampling Distribution
61. Chapter 7 Inferences Based on a Single Sample: Estimation with Confidence Intervals
62. 7.1 Identifying and Estimating the Target Parameter
63. 7.2 Confidence Interval for a Population Mean: Normal (z) Statistic
64. 7.3 Confidence Interval for a Population Mean: Student’s t-Statistic
65. 7.4 Large-Sample Confidence Interval for a Population Proportion
66. 7.5 Determining the Sample Size
67. 7.6 Confidence Interval for a Population Variance (Optional)
68. Statistics in Action: Medicare Fraud Investigations
69. Using Technology: MINITAB: Confidence Intervals
70. TI-83/TI-84 Plus Graphing Calculator: Confidence Intervals
71. Chapter 8 Inferences Based on a Single Sample: Tests of Hypothesis
72. 8.1 The Elements of a Test of Hypothesis
73. 8.2 Formulating Hypotheses and Setting Up the Rejection Region
74. 8.3 Observed Significance Levels:p-Values
75. 8.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic
76. 8.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic
77. 8.6 Large-Sample Test of Hypothesis about a Population Proportion
78. 8.7 Calculating Type II Error Probabilities: More about β (Optional)
79. 8.8 Test of Hypothesis about a Population Variance (Optional)

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