A. Introduction
1. Definitions
Text exercise 1.12-1.15[1.34 – 1.36] (1.31-1.33).
2. Uses of Statistics
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Exercise 1.12 [1.34 in 9th] (1.31 in 8th edition): How does a sample differ from a population?
According to the Instructor’s Solutions Manual,
1.34 A population contains all the items whereas a sample contains only a portion of the items in the population.
Exercise 1.13 [1.35 in 9th] (1.32 in 8th edition): How does a statistic differ from a parameter?
According to the Instructor’s Solutions Manual,
1.35 A statistic is a summary measure computed from a sample whereas a parameter is a summary measure computed from an entire population.
Exercise 1.14 [1.36 in 9th] (1.33 in 8th edition): How does descriptive statistics differ from inferential statistics?
According to the Instructor’s Solutions Manual,
1.36 Descriptive methods deal with the collection, presentation, summarization, and analysis of data whereas inferential methods deal with decisions arising from the projection of sample information to the characteristics of a population.
The description of inferential methods is the important part of this, but I would include probability and inferential (inductive) methods in a category called analytic statistics.
For Exercise 1.15 (and 1.16) see 251SolnB
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