Solutions Manual to accompany Introductory Statistics 9th edition 0321691229

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Product details:

• ISBN-10 ‏ : ‎ 0321697944
• ISBN-13 ‏ : ‎ 978-0321697943
• Author: Neil A. Weiss

This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Weiss offers a comprehensive, traditional approach to introductory statistics, with a heavy emphasis on mathematical reasoning and critical thinking. Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. More than 2,600 exercises involve real data from contemporary sources, which promotes active learning and develops readers’ ability to think critically with statistics. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility

Table Of Contents:

1. CHAPTER 1 Introduction
2. 1.1 Statistics and Types of Statistics
3. Case Study 1–1 2014 Lobbying Spending by Selected Companies
4. Case Study 1–2 Americans Life Outlook, 2014
5. 1.2 Basic Terms
6. 1.3 Types of Variables
7. 1.4 Cross-Section Versus Time-Series Data
8. 1.5 Population Versus Sample
9. 1.6 Design of Experiments
10. 1.7 Summation Notation
11. Uses and Misuses
12. Glossary
13. Supplementary Exercises
14. Advanced Exercises
15. Self-Review Test
16. Technology Instructions
17. Technology Assignments
18. CHAPTER 2 Organizing and Graphing Data
19. 2.1 Organizing and Graphing Qualitative Data
20. Case Study 2–1 Ideological Composition of the U.S. Public, 2014
21. Case Study 2–2 Millennials’ Views on Their Level of Day-to-Day Banking Knowledge
22. 2.2 Organizing and Graphing Quantitative Data
23. Case Study 2–3 Car Insurance Premiums per Year in 50 States
24. Case Study 2–4 Hours Worked in a Typical Week by Full-Time U.S. Workers
25. Case Study 2–5 How Many Cups of Coffee Do You Drink a Day?
26. 2.3 Stem-and-Leaf Displays
27. 2.4 Dotplots
28. Uses and Misuses
29. Glossary
30. Supplementary Exercises
31. Advanced Exercises
32. Self-Review Test
33. Technology Instructions
34. Technology Assignments
35. CHAPTER 3 Numerical Descriptive Measures
36. 3.1 Measures of Center for Ungrouped Data
37. Case Study 3–1 2013 Average Starting Salaries for Selected Majors
38. Case Study 3–2 Education Level and 2014 Median Weekly Earnings
39. 3.2 Measures of Dispersion for Ungrouped Data
40. 3.3 Mean, Variance, and Standard Deviation for Grouped Data
41. 3.4 Use of Standard Deviation
42. Case Study 3–3 Does Spread Mean the Same as Variability and Dispersion?
43. 3.5 Measures of Position
44. 3.6 Box-and-Whisker Plot
45. Uses and Misuses
46. Glossary
47. Supplementary Exercises
48. Advanced Exercises
49. Appendix 3.1
50. Self-Review Test
51. Technology Instructions
52. Technology Assignments
53. CHAPTER 4 Probability
54. 4.1 Experiment, Outcome, and Sample Space
55. 4.2 Calculating Probability
56. 4.3 Marginal Probability, Conditional Probability, and Related Probability Concepts
57. Case Study 4–1 Do You Worry About Your Weight?
58. 4.4 Intersection of Events and the Multiplication Rule
59. 4.5 Union of Events and the Addition Rule
60. 4.6 Counting Rule, Factorials, Combinations, and Permutations
61. Case Study 4–2 Probability of Winning a Mega Millions Lottery Jackpot
62. Uses and Misuses
63. Glossary
64. Supplementary Exercises
65. Advanced Exercises
66. Self-Review Test
67. Technology Instructions
68. Technology Assignments
69. CHAPTER 5 Discrete Random Variables and Their Probability Distributions
70. 5.1 Random Variables
71. 5.2 Probability Distribution of a Discrete Random Variable
72. 5.3 Mean and Standard Deviation of a Discrete Random Variable
73. Case Study 5–1 All State Lottery
74. 5.4 The Binomial Probability Distribution
75. 5.5 The Hypergeometric Probability Distribution
76. 5.6 The Poisson Probability Distribution
77. Case Study 5–2 Global Birth and Death Rates
78. Uses and Misuses
79. Glossary
80. Supplementary Exercises
81. Advanced Exercises
82. Self-Review Test
83. Technology Instructions
84. Technology Assignments
85. CHAPTER 6 Continuous Random Variables and the Normal Distribution
86. 6.1 Continuous Probability Distribution and the Normal Probability Distribution
87. Case Study 6–1 Distribution of Time Taken to Run a Road Race
88. 6.2 Standardizing a Normal Distribution
89. 6.3 Applications of the Normal Distribution
90. 6.4 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known
91. 6.5 The Normal Approximation to the Binomial Distribution
92. Uses and Misuses
93. Glossary
94. Supplementary Exercises
95. Advanced Exercises
96. Appendix 6.1
97. Self-Review Test
98. Technology Instructions
99. Technology Assignments
100. CHAPTER 7 Sampling Distributions
101. 7.1 Sampling Distribution, Sampling Error, and Nonsampling Errors
102. 7.2 Mean and Standard Deviation of x
103. 7.3 Shape of the Sampling Distribution of x
104. 7.4 Applications of the Sampling Distribution of x
105. 7.5 Population and Sample Proportions; and the Mean, Standard Deviation, and Shape of the Sampling D
106. 7.6 Applications of the Sampling Distribution of p
107. Uses and Misuses
108. Glossary
109. Supplementary Exercises
110. Advanced Exercises
111. Self-Review Test
112. Technology Instructions
113. Technology Assignments
114. CHAPTER 8 Estimation of the Mean and Proportion
115. 8.1 Estimation, Point Estimate, and Interval Estimate
116. 8.2 Estimation of a Population Mean: σ Known
117. Case Study 8–1 Annual Salaries of Registered Nurses, 2014
118. 8.3 Estimation of a Population Mean: σ Not Known
119. 8.4 Estimation of a Population Proportion: Large Samples
120. Case Study 8–2 Americans’ Efforts to Lose Weight Still Trail Desires
121. Uses and Misuses
122. Glossary

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