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#19. The sample heights collected randomly from nine supermodels have the mean of 70.0 in, and...
15. Hypothesis Test for Heights of Supermodels The heights are measured for the simple random sample of supermodels Crawford, Bundchen, Pestova, Christenson, Hume, Moss, Campbell, Schiffer, and Taylor. They have a mean of 70.0 in. and a standard deviation of 1.5 in. Data Set 1 in Appendix B lists the heights of 40 women who are not supermodels, and they have heights with a mean of 63.2 in, and a standard deviation of 2.7 in. Use a 0.01 significance level...
Need help with these problems A researcher collected a simple random sample of the cents portions from 100 checks and from 100 credit card charges. The cents portions of the checks have a mean of 23.8 cents and a standard deviation of 32.0 cents. The cents portions of the credit charges have a mean of 47.6 cents and a standard deviation of 33.5 cents. Construct a 95% confidence interval for the mean difference between the cent portions of credit cards...
8. Listed below are the heights (inches) for the simple random sample of supermodels. Use a 0.05 significance level to test the claim that supermodels have heights with a mean that is greater than the mean height of 63.8 in. for women in the general population. Do not use the p-value. 70 71 69.25 68.5 69 70 71 70 70 69.5
1. The heights are measured for supermodels Niki Taylor, Nadia Avermann, Claudia Schiffer, Elle Macpherson, Christy Turlington, Bridget Hall, Kate Moss, Valeria Mazza, Kristy Hume and seven other supermodels. They have a mean of 70.2 inches and a standard deviation of 1.5 inches. Use a 0.01 significance level to test the claim that supermodels have heights with a mean that is greater than the mean of 63.6 inches for women from the general population. 2. A recent Gallup poll of 976 randomly...
It is known that the mean of height of the population of women is 65 inches. A random sample of 18 supermodels was selected, and they had a mean height of 69.9 inches and a standard deviation of 1.2 inches. Use a 0.05 significance level to test the claim that mean heights of female supermodels are larger than the mean heights of women in general. a.) Write the claim using an appropriate math expression b.) Define the Null and Alternate...
A simple random sample of 16 supermodels' heights (in centimeters) was taken. 178, 177, 176, 174, 175, 178, 175, 178, 178, 177, 190, 176, 180, 178, 180, 176 a) use a .05 significance level to test the claim that supermodels have a mean height greater than the population of women, whose mean is 162 cm. b) Given that there are only 16 values in the sample, are your conditions from part a valid? Why or why not? c) Construct a...
_ 9) In a sample of 10 randomly selected women, it was found that their mean height was 634 inches. From previous studies, it is assumed that the standard deviation, , 124 inches and that the population of height measurements is normally distributed a) Construct the confidence interval for the population mean height of women b) If the sample size was doubled to 20 women, what will be the effect on the confidence interval? 10) 10) The numbers of advertisements...
(1 pt) Randomly selected 22 student cars have ages with a mean of 7.6 years and a standard deviation of 3.4 years, while randomly selected 10 faculty cars have ages with a mean of 5.4 years and a standard deviation of 3.5 years. 1. Use a 0.05 significance level to test the claim that student cars are older than faculty cars. (a) The test statistic is (b) The critical value is (c) Is there sufficient evidence to support the claim...
in a sample of 50 cars, it was found that the mean gas consumed per week is 12 gallons. population statistic shows that mean gas consumed per week is 9.5gallons with a standard deviation of 5 gallons. At 0.01 level of significance, test the claim that the mean gas consumed per week is more than 9.5gallons. Critical Value: Test Statistics: Conclusion Regarding the null hypothesis: your statement regarding the claim:
The heights of young women in AZ are Normally distributed with unknown mean. A random sample of 44 AZ women had a sample mean of xbar = 68.5 inches and sample standard deviation of s = 2.4 inches. Do we have evidence that the true mean (mu) is greater than 67 inches? Test the appropriate hypotheses, make your conclusion based on the critical value method. a. State the null and alternative hypotheses. b. Compute the observed value of the test...