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Shank's Inc., a nationwide advertising firm, wants to know whether the size of an advertisement and the color of the advertisement make a difference in the response of magazine readers. A random same of readers is shown ads of four different colors and three different sizes. Each reader is asked to give the particular combination of size and color a rating between 1 and 10. Assume that the ratings follow the normal distribution. The rating for each combination is shown in the following table:
Color of Ad
Size of Ad Red Blue Orange Green
Small 2 3 3 8
Medium 3 5 6 7
Large 6 7 8 8
Is there a difference in the effectiveness of an advertisement by color and by size? Use the .05 level of significance.
Using the information provided, determine the optimal number of clerks to have on duty each Satyrday to minimize the store's total expected cost.
What is the probability that none of the next eight customers who order beer will order light beer? What is the probability that one customer will? What is the probability that two customers will?
Is global F ratio significant? Identify this F ratio, and describe whether it is important.Is coefficient for X1 (productivity) significant? How do you know? Mention its t value and accompanying P-value.
Find the value of W, the test statistic for a two sample rank-sum test that would compare the two methods for losing weight. Give the details of how you found W. Please show your step-by-step hand calculation here.
The Director of Emergency Medicine at Big Mountain Medical Services is studying patient waiting time. Waiting time is defined as the time from when a patient enters the facility until seen by a physician.
Determine and plot the probability mass function and probability distribution function of the contract award amount (in millions of dollars).
Utilizing the .05 level, do the results support the psychologists' theory. Elucidate your answer to somebody whom has never had a course in statistics.
Cite an example of how you could/would apply a test of a hypothesis for a single population proportion, two tail test described in the lecture to real world situations?
A sample of 144 cans of coffee showed an average weight of 16 ounces. The standard deviation of the population is known to be 1.4 ounces.
Ace Machine Works estimates that the probability its lathe tool is properly adjusted is 0.8. When the lathe is properly adjusted, there is a 0.9 probability that the parts produced pass inspection.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
Determine the correlation coefficient. Is there a strong relationship? If so determine the line of best fit. Estimate what the sales should be for a 3000 square foot shop.
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