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In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a nonbrowser, light browser, or heavy browser. For each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the following data were collected. For each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the following data were collected. Use a = .05 to test for differences among comfort levels for three types of borrowers.
Nonbrowser 4 5 6 3 3 4 5 4Light Browser 5 6 5 4 7 4 6 5Heavy Browser 5 7 5 7 4 6 5 7
Random samples of size 64 are taken from a large population whose mean is 160 and whose standard deviation is 25. What is the mean of the sampling distribution of the sample mean?
Compute the indicated confidence interval for the differenciate in proportions. Suppose that the samples are independent and that they have been randomly selected.
A recent study of the USA births showed the average birth weight of a male was 8 lbs.; the average weight of a female newborn was 7.4 lbs.
Perform a linear regression, 8 month moving average & 3 month moving average forecasting technique to see which is most accurate for the new quarter 11 if quarter 11 sales are 172,000 units
Produce the scatter plot for sodium and bp. Do you think there are any outliers?
Describe the difference in the fit provided by the two estimated regression equations.
A parent is deciding which babysitter to use in the neighborhood. Babysitter A charges $20 per hour and a base rate of $60 per day. Babysitter B charges a base rate of $50 per day and $25 per hour.
Formulate the appropriate null and alternative hypotheses to test the manufacturer's belief. Using the sample mean of 99.2, compute a 90% confidence interval. Show the computation, and interpret in one sentence the interval you compute.
A mean given by mu=143 lb and a standard deviation given by sigma=29 lb. If 1 woman is randomly selected, find the probability that her weight is below 113
Find the probability that a sample of 16 tires will have an average tire life of more than 52000 miles, give that the mean tire life is 50000miles and the standard Deviation is 8489.13.
Which of the t-test methods are you going to use and why? Formulate the null and alternative hypothesis. Determine the criterion for rejection or nonrejection of the null. What is the t-statistic for this analysis
Within what values will 95.44 percent of sample means of this process fall, if samples of n = 14 are taken and the process is in control (random)?
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