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An experiment was performed to explore the effect of a marketing campaign on web site traffic. The data in webtraff .txt are the number of weeks into the marketing campaign and the web site traffic. The traffic measure is a daily average for two random 24-hour periods during the particular week. The day that the traffic was sampled was determined before the study began and only weekdays were considered. The values are in lOOO's of hits per day.
(a) Make a scatter plot of the data and suggest a suitable polynomial model.
(b) Fit the model you chose in part (a).
(c) What does the data at time zero represent? Why is this important?
(d) Predict the web site traffic for the third week of the study.
(e) Plot your fitted model on your scatter plot (you may need to do this by hand), and comment on the fit. How precise do you think your predictions will be?
A sample of n observations is taken from a population. When performing statistical inference about a population variance, the appropriate chi-square distribution has:
the gss measures the amount of hours individuals spend on the internet per week. males use the internet 10.17 hours per
Assuming that n = 6 for both samples, calculate each of the sample variances, then calculate the pooled variance. Because the samples are the same size, you should find that the pooled variance is exactly halfway between the two sample variances.
Determine the probability that subscriber didn't rent the car during past 12 months for either business or personal reasons?
Gas Station pump signs, at one chain, encourage customers to have their oil checked, claiming that one out of every four cars should have its oil topped.
Some of the methods in this section are approximations rather than exact probability results. We have given rules of thumb for safe use of these approximations.
What is the probability that a red ball will be chosen? If we randomly select 5 balls with replacement, what is the probability distributon of x-the neumber of red balls in the sample?
There are 20 qualified applicants for 5 trainee positions in a fast-food management program. How many different groups of trainees can be selected?
Write up a brief description of the problem with the conclusion drawn from the hypothesis test. Note that the problem is not in the calculations--assume the calculations are correct--but in the interpretation of the test.
Find a 99% confidence interval for the population mean number of weekly miles.
Provide an explanation of a chi-square test. Why would you use the chi-square statistic? What type of data is used with chi square analysis?
The correlation between hours spent in the course and exam grades is .8. what percent f variation in exam grades can be explained by hours spent in the course?
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