Question

Customer Waiting Times (in minutes) 7.4 6.9 6.9 6.8 7.4 6.6 7.7 6.5 7.2 7.9 8.7 7.2 7.4 7.9 6.9 6.7 8.9 7.1 7.6 6.1 7.2 7.6 7.3 5.9 7.3 6.8 6.7 6.9 7.8 7.4 6.8 6.9 6.1 6.4 5.3 7.7 7.7 7.8 7.5 6.3 7.6 7.1 6.9 8.7 7.4 6.4 6.8 7.2 8.6 6.1 7.1 6.7 7.5 7.6 7.1 8.1 7.3 7.5 7.8 6.3 The accompanying data table includes weights (in grams) of a simple random sample of 40 quarters made before 1964 and weights of 40 quarters made after 1964. When designing coin vending machines, the standard deviations of pre-1964 claim that the weights of pre-1964 quarters and the weights of post-1964 quarters are from populations with the the Levene-Brown-Forsythe test and a 0.05 significance considered uarters m test same standard deviation. view the data table of pre- and post-1964 quarter weights (grams) EEClick the icon Let the weights of pre-1964 quarters represent population 1. Let the weights of post-1964 quarters represent population 2. What are the null and alternative hypotheses? OA Ho:2 H: Ов. Но: о? - а ос. Но о? -о H: 00 Identify the test statistic. (Round to three decimal places as needed.) Identify the P-value. P-value (Round to four decimal places as needed.) What is the condlusion for this test? H There Sufficient evidence warrant reiection f the claim that the variation among weights of quarters made after 1964 is the same as the variation among weights of guarters made before 1964

Answer 1

Answer:

You are supposed to give the data of Pre-Weight and Post-Weight instead of customer waiting minutes.

So, let the data be

Weight of Pre-1964 Quarters (grams) Weight of Post-1964 Quarters (grams) 6.2777 6.2682 6.2713 5.6972 5.5611 6.2359 5.7448 5.5893 6.1509 6.1961 5.7072 5.6852 6.0011 6.2465 5.5889 5.6274 6.1262 6.3172 5.7238 5.6157 6.2151 6.1487 5.6114 5.6668 6.2866 6.0760 6.1426 6.3415 6.0829 5.6160 5.7198 6.1423 6.1970 6.2441 5.6694 5.5454 5.6646 5.5636 5.6485 5.6703 5.5999 5.7790 5.6841 6.1309 6.3669 5.6234 6.2412 6.1442 6.0775 5.5928 6.1095 5.6486 6.1073 6.1787 5.6661 5.6848 6.1181 6.2130 5.5361 5.5609 6.1352 6.1947 6.1940 5.5491 5.7344 5.6449 6.2821 5.7239 5.6555 6.2647 6.2908 6.1672 6.0257 5.5804 6.1732 6.3285 5.6063 5.5978 5.6053 5.5692

Descriptive Statistics: Pre Weight, Post Weight Total Sum of Variable Count Mean SE Mean StDev Variance Sum Squares Pre Weight 40 6.1947 0.0139 0.0879 0.0077 247.7889 1535.2846 Post Weight 40 5.6390 0.00974 0.0616 0.00380 225.5589 1272.0685 [0.08792 +0.061621 = 0.0758979 Spociel 이뤄-[3+ 는기를- Test Statistic under Ho X1 X2 SE(x1-x2) 6.1947 5.639 1 -+_ pooled 0.5557 32.75 1 0.0758979 40 40 Critical t: +1.990845 P-Value: 0.0000 Here P-value< alpha 0.05, so we reject HO Thus we conclude that The two populations are not same