Chapter 7 Outline

Chapter 7 Outline - Chapter 7: Sampling and Sampling...

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Chapter 7: Sampling and Sampling Distributions (Sections 1, 2, 8) Objectives: 1. Identify and understand the reason for taking a sample as opposed to a census. 2. Define probability and non-probability sample. 3. Recognize that probability sampling is necessary when making statistical inferences. 4. Identify the different types of random sampling and recognize when each should be used.
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I. Introduction – one aspect of statistical inference is to provide estimates of population characteristics, specifically the population mean and standard deviation, based upon sample information. A. Remember: 1. A population is the set of all items in a particular study. 2. A sample is a subset of the population selected for analysis. 3. A parameter is a summary measure that is computed to describe a characteristic of an entire population. 4. A statistic is a summary measure that is computed to describe a characteristic from only a sample of the population.
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B. Reasons for Taking a Sample as opposed to the Population 1. Time and Cost - A Sample can provide results more quickly and for a lower cost. (Example: Long version of the Census Form) 2. Feasibility – In some cases, taking The population is not a viable option, so decision makers can only rely on information obtained from a sample. (Ex: assessing the quality of wine, determining the life-time of light bulbs, determining the winner of an election)
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3. Accuracy – If a sample is selected
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Chapter 7 Outline - Chapter 7: Sampling and Sampling...

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