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Assume that women's heights are normally distributed with a mean given by mu equals 63.3 in, and a standard deviation given by sigma equals 3.1 in. Complete parts a and b.
a. If 1 woman is randomly selected, find the probability that her height is between 62.7 in and 63.7 in.The probability is approximately __. (Round to four decimal places as needed.)
a study was commissioned to investigate the characteristics of properties that are for sale. data was collected on 60
A car company makes two models that come in three colors. The following table shows the production volume for last week: What is probability that a car produce last week is Brown
The data show that 48 of the doctors picked brand x. If these data were evaluated using a chi-square test for goodness of fit, what is the expected frequency for brand x?
Find the 90% confidence interval for the variance and standard deviation for the time it takes a state police inspector to check a truck for safety if a sample of 27 trucks has a standard deviation of 6.8 minutes.
Compute test statistic and p -value for each sample. (Negative amount must be pointed out by minus sign.)
a fair coin is tossed three times. let x be the number of heads that turn up on the first two tosses and y be the
what is the percentage of the total area under the normal curve within plus and minus 1.6 standard deviations of the
Do these data provide suffiient evidence to establish that the site is acceptable? Use = 0:05. What are the consequences of Type I and Type II errors? Which error is more expensive to make?
suppose iq scores were obtained from randomly selected siblings. for 20 such pairs of people the linear correlation
Find out the test statistic P-value, and critical value, and state the final conclusion. The mean IQ score of statistic professors is less than 120. Sample data: n = 46. Suppose that = 17, and the significance level is = 0.05.
let r be the region in the first quadrant bounded by the curves yx and yx5. a random point xy is selected from r. a
An accountant wants to test the hypothesis that the proportion of incorrect transactions at four client accounts is about the same. A random sample of 80 transactions of one client reveals that 21 are incorrect
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