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Lab Assignment 1 (Due: 4/14/17) 1. (Z-tests for a population mean and confidence interval) In Example 11.1 we saw that the distribution of heights of young women aged 18 to 24 is approximately Normal with mean µ = 64.5 inches and standard deviation σ = 2.5 inches. A random sample of 93 female undergraduate students at the University of California at Irvine produced a sample mean height of 62.7 inches. Is there evidence that the mean height of all female undergraduate students at UC-Irvine is different from the mean height of all young women in the United States? Use the level of significance α = 0.05. Try both confidence interval and p-value approaches. Interpret your results. Hint: > install.packages("TeachingDemos") > library(TeachingDemos) Download ta14-01.xls and then use the z.test. Downloading ta14-01.xls file: Save ta14-01.xls file as ta14-01.csv file on your desktop. Then type the following: > ta14.01 = read.csv(file=file.choose(),header=TRUE,sep=",") This will ask you to choose a file that you wish to download. Double click ta14-01.csv > z.test(ta14.01$Height,mu=64.5,sd=2.5,conf.level=.95) One Sample z-test data: ta14.01$Height z = -6.9891, n = 93.00000, Std. Dev. = 2.50000, Std. Dev. of the sample mean = 0.25924, p-value = 2.767e-12 alternative hypothesis: true mean is not equal to 64.5 95 percent confidence interval: 62.18008 63.19627 sample estimates: mean of ta14.01$Height 62.68817 Interpretation: Confidence interval approach: Since the 95% confidence interval, (62.18, 63.20), does not include 64.5, there is a statistically significant evidence at 5% level of significance that the mean height of all female undergraduate students at UC-Irvine is different than that of all young women in the United States. P-value approach: Since the p-value = 2.767e-12 is less than α = 0.05, we conclude that there is a statistically significant evidence at 5% level of significance that the mean height of all female undergraduate students at UC-Irvine is different from the mean height of all young women in the United States.