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Question 1: The standard deviation of the amount of fat in whole milk is claimed to be no greater than 0.50 by the Dairy Association. You do not believe this. You find that a random sample of 31 milk containers has a standard deviation of 0.53. Using "alpha" = 0.05, is there enough evidence to reject the Association's claim? Would your conclusion change if "alpha" = 0.01? Assume the population is normally distributed.
Question 2: A national faculty group conducts salary surveys each year. For 2008, 35 University Professor's had an average salary of $88,200 and 30 Community College Instructor's had an average salary of $73,200. The population standard deviations are known to be $25,800 and $25,600, respectively. At "alpha" = 0.01, can we conclude that university salaries are higher than at the CC's?
Has there been a significant decrease in the proportion of students who change their major after the first year in this program? Test at the .05 level of significance.
the ceo of an oil company has asked for your help in analyzing a confidential data associated with drilling holes. it
Identify the scale of measurement in each of the following:
the average life of a certain type of small motor is 10 years with a standard deviation of 2 years. the manufacturer
What level of confidence is associated with an interval of .400513 to .515487 for the long run proportion of new product placements?
What is the minimum possible time required for completing the project and what is the latest possible time that Activity D may be started without delaying the completion of the project?
The mean number of hours of flying time for pilots at Continental Airlines is 49 hours per month (The Wall Street Journal, February 25, 2003).
A sample of 60 infants participated in a test of color preference
the average salary of produce workers at a local store for the selected periods are given
consider throwing 2 usual dice. in each play we observe the number of dots that stay on top sum the returned result
The dataset Length.jmp contains a simple random sample of 50 stainless steel sheet metal screw from Crown Bolt
indicate in a scatterplot what the data for your dependent variable and your explanatory variable would look like in a
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