2. Descriptive statistics focuses on summarizing and presenting data.

Statistical inference, or inferential statistics, deals with the selection and use of sample data to learn about the larger population from which the sample data was selected.

4. Probability serves as a link between descriptive and inferential statistics.

6. Qualitative: c, e, j, k, m, o, p, q; Numeric: a, b, d, f, g, h, i, k, l, m, n, q

8. Cross-sectional: a, b, d, f, g, i, j

10. Nominal: f, l; Ordinal: a, c, h, i, k; Interval: j; Ratio: b, d, e, g, m

2. mean = $533.25 million; median = $487 million; no mode

4. mean = 142; median = 130; mode = 130

6. mean = $60,100; median = 60,451; no mode

8. range = 20; MAD = 5.33; variance = 43.667; Std dev = 6.61

10. range = $24; MAD = $5; variance = 44.33; Std dev = $6.66

12. range = 250 pins; MAD = 56 pins; variance (*s*^{2}) = 6246.33; Std dev (*s*) = 79.0 pins

14. range = $39.9 billion; MAD = $9.658 billion; variance = 158.852; Std dev = $12.604 billion

16. c. The distribution is negatively skewed and unimodal.

22. a. μ = 2.56; b. median = approximately the 52 million^{th} ((104.6 million + 1)/2) value in the ordered list = 2; c. σ^{2} = 1.99; σ = 1.41 household members

24. a. μ = 2.8; b. med = 183^{rd} value ((365 + 1)/2 = 183) in the ordered list = 3; c. σ^{2} = 1.55; σ = 1.24

26. b. μ = $13.20; c. median = $12; d. σ^{2} = 10.96; σ = $3.31

32. median = 7

34. b. mean = 20.06; c. median ...

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