MTH 110 Quiz: Chapter 1 Test Review
1 Mar 2017
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Population vs sample: population: complete set of people/things being studied, sample: subset of population from which data is actually obtained. Parameter: the specific #s describing characteristics of the population: sample statistic: #s describing characteristics of the sample found by summarizing the raw data. We use sample statistics to estimate population parameters. If we want to estimate some value of (population mean), best estimate is (sample mean) Since our sample statistic is just an estimate, it is typically reported with a margin of error. Margin of error: exp: 64 +-: 3 . Confidence interval: range of likely/plausible values that estimates a population parameter, exp: i"m fairly confident that the truth (pop. mean height of f @ elon) is between 61 & 67 . Srs-simple random sample: every possible sample of the pop. has an equal probability of being selected, use a random # generator to randomly select a sample from the pop.
