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You interview a random sample of 50 adults. The results of the survey show that 46% of the adults said they were more likely to buy a product when there are free samples. At a=0.01, can you reject the claim that at least 58% of the adults are more likely to buy a product when there are free samples?
a) State the null and alternative hypotheses
b) Determine the critical value(s)
c) Find the z-test statistic
d) What is the result of the rest?
a. Reject the null hypothesis. The data provide insufficient evidence to reject the claim.
b. Fail to reject the null hypothesis. The data do not provide insufficient evidence to reject the claim.
c. Reject the null hypothesis. The data do not provide insufficient evidence to reject the claim.
d. Fail to reject the null hypothesis. The data provide insufficient evidence to reject the claim.
Compute a 3-month moving average forecast of demand for April through January (of the next year).
A recent study by a large retailer designed to determine whether there was a relationship between the importance a store manager placed on advertising and the size of the store revealed the following sample information:
A manufacturer of athletic footwear claims that the mean useful lifetime of his product will exceed 50 hours. A random sample of 36 pairs of shoes leads to the following sample results, in terms of useful life: x = 52.3 hours and s = 9.6 hours.
Industry standards suggest that 13 percent of new vehicles require warranty service within the first year. Compute the mean and standard deviation of this probability distribution.
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A sample of 49 observations is taken from a normal population. The sample mean is 55 and the sample standard deviation is 10. Determine the 99% confidence interval for the population mean.
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the director of transportation for big state university has asked for your help in evaluating the usage of one of the
How much should a healthy shetland pony weigh? Let X be the age of the ponies in months and y be the average weight of the ponies, in kilograms.
q1. a manufacturing company measures the weight of boxes before shipping them to the customers. if the box weights have
Using what you know about t-scores, identify which of the variables have a significant influence on the LISTPRICE. At a level of 1% which variables are significant?
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