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In the sample of women's heights given in this section, the sample average is y = 65:2 in. and the sample variance is s2= 4.392, or s = 2.1 in.
Use these sample values as estimates of m and s2 in the normal distribution and perform a chi-square goodness of-fit test. Since two parameters are estimated, the degrees of freedom will be k 2 1 2 2. Use the categories 59.5 to 60.5, 60.5 to 61.5, and so on. Expected values can be computed by finding the probability that a height is in such a section and multiplying by the sample size. If necessary, combine categories to prevent the expected values from becoming too small.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
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