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A market research firm supplies manufactures with estimates of the retail sales of their products from samles of retail stores. Marketing managers are prone to look at the estimates and ignore sampling error. An SRS of 75 stores this month shows mean sales of 52 units of a small appliance, with standard deviation 13 units. During the same month last year, an SRS of 53 stores gave mean sales of 49 units, with standard deviation of 11 units. An increase from 49 to 52 is a rise of 6%. The marketing manager is happy because sales went up 6%.
Q: Should the manager be happy about this improvement? Explain using a significance test.
B. Find a 95% confidence interval for the difference between this year and last year in the mean number of units sold at all retail stores and interpret the results.
At 95% confidence using the p- value approach, test the hypotheses. Let α = 0.1.
Rental car gasoline prices per gallon were sampled at eight major airports. Date for Hertz and National car rental companies follow (USA today April 4, 2000)
Explain the distribution using the following characteristics. Determine the shape of the distribution. what score best identifies the center (average) for the distribution.
A quadratic revenue function often occurs in practice. The reason is that as more units are produced, the price must be lowered in order to sell them all.
Find the area between the graphs of the functions y1 (x) = x ln x and y2 (x) = -4 exp(3ln x) in the interval between the points x1 = 1 and x2 = e.
A researcher is looking at the relationship between home-schooling and achievement. She is hypothesizing that the home-schooled children will score higher than non home-schooled children on a standardized achievement test.
Scientist does n ot believe that water ph is 7. She wants to test the null hypothesis that the true level of ph is 7 at the .05 significance level. Her alternative hypothesis is that the water does not have a ph of 7. Which p-value will she reject..
What is the distinction between distribution-free methods and nonparametric methods?
Probability based on addition rule - Find the probability that a randomly chosen sold automobile from this sample is silver or an SUV?
Clouds were randomly seeded or not with silver nitrate. Rainfall amounts were recorded from the clouds. The purpose of the experiment was to determine if cloud seeding increases rainfall. The following data is obtained:
A local bank wants to install motion detector burglar alarms. Each has a 70% chance of detecting a burglar. If the bank wants to be 99% certain of detecting a burglar how many need to be installed?
State the main points of the Central Limit Theorem for a mean. Why is population shape of concern when estimating a mean? What does sample size have to do with all?
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