February 2020
Intermediate to advanced
688 pages
18h 35m
English
Content preview from Principles of Managerial Statistics and Data Science
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Appendix DSolutions to Odd‐Numbered Problems
Chapter 2
- 2.1 (a) Legal sales (in $). (b) 1857. (c) $14 983.
- 2.3 (b) They may not be representative of the population of interest.
- 2.7 (a) Unstructured. (b) Unstructured. (c) Structured.
- 2.9 (a) Ordinal. (b) Nominal. (c) Ordinal. (d) Nominal.
- 2.11 (a) Discrete. (b) Continuous. (c) Continuous.
- 2.13 Categorical and the level of measurement ordinal, but can also be interpreted as coming from a count of runners getting to finish line. However, some mathematical operations (e.g. the mean place) do not make sense.
- 2.15 (a) Ratio. (b) Interval. (c) Ratio. (d) Interval. (e) Ratio.
- 2.17 (a) A professional directory of all medical doctors. (b) Proportion of doctors who have been involved in a malpractice lawsuit. (c) 100 doctors who have been selected at random from a professional directory. (d) Proportion of doctors who have been involved in a malpractice lawsuit, in the sample of 100.
- 2.19 Parameter, because it is the true measure of interest, and a statistic is a random estimate of the parameter.
- 2.21 (a) Primary. (b) Primary. (c) Secondary.
- 2.23 (a) Experimental. (b) Observational. (c) Observational. (d) Experimental.
- 2.25 A discrete variable has countable number of distinct values, whereas a continuous variable can have any value in a given range or interval. Examples: number of cars (discrete), car speed (continuous).
- 2.27 (a) Secondary. (b) Primary.
- 2.29 (a) No. (b) No.
- 2.31 (a) No. (b) Yes. (c) Yes.
- 2.33 (a) Is there an increasing ...
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