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Historically, the publisher of Golf Illustrated has found that 64% of its subscribers renew their subscriptions. Because of the advent of the Internet and cable television, the publisher is concerned that the proportion of subscribers who renew their subscriptions may be declining. The publisher selects a random sample of 200 subscribers and finds that 116 plan to renew their subscriptions. Use (a=0.01). p = the population of subscribers to Golf Illustrated who renew. Calculate the p-value.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
If the standard deviation is $10,000, can the cable manager conclude that there is a difference? Test at alpha = 0.10.
Find the probability that a standard normal random variable will assume a value between: Find a z such that 70% of the area is above that value.
A 1-minute television ad costs $30,000 and 1- minute radio add costs $5,000. French Enterprise should decide how many television ads to buy. Write down the decision variables?
Give an example of when the F-statistic would be a useful value in data analysis. Provide details of what you would measure and how the F-statistic would be used.
An entomologist is studying the effect of a chemical sex attractant (pheromone) on insects. Several insects are released at a site equidistant from the pheromone under study and a control substance.
In a randome sample of 32 units of this year's version of the Vagabond the mean output power is 42 watts, with a standard deviation of 8 watts.
Simple random sample from the students in the university. Find the probability that the average number of study hours for this group is between 21 and 23 hours.
Illustrate what does weighting add to usefulness of moving averages and explain how is it done. The yield on a thirty year treasury note at the end of every year since 1990 is recorded below.
A pizza store chain wants to see which pizza toppings customers seem t olike the best. A random sample of people were asked about their pizza preferences.
Which study has the higher probability of a Type II error, the 60-subject study or the 100 -subject study? Which study has higher power?
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:
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