CHAPTER 9 Sampling Reality: How Observing Some Things Tells Us about All Things
LEARNING OBJECTIVES
- Learn how to compute 90% confidence intervals for the estimate of a mean, median, or population proportion based on a sample.
- Describe the impact of small samples in situations with high uncertainty.
- Describe variations on population proportion sampling.
- Describe the method for supporting a measurement relative to a threshold.
- Compute the probability that an experimental result is due to chance.
- Use regression modeling methods with Excel.
- Describe the meaning and limitations of significance testing.
CHAPTER OVERVIEW
Chapter NaN discusses some simple methods for making useful inferences from samples of a larger population. Examples are provided to help you develop an intuition for the concepts. The chapter shows that uncertainty reduction can be achieved with surprisingly few observations. Parametric and nonparametric statistics are distinguished, and “mathless” ways for computing 90% confidence intervals are presented.
Calculations for estimating the mean and median of a population are introduced, as well as variations on population proportion sampling. Methods for reducing uncertainty relative to some threshold, serial sampling, and controlled experiments are presented. The proper interpretation and limitations of significance testing are introduced. Finally, regression analysis methods are discussed.
QUESTIONS
- Suppose you want to determine what percentage of businesses ...
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