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The heights were measured for nine supermodels. They have a mean of 67.1 and a standard deviation of 2.3 in. Use the traditional method and a 0.01 significance level to test the claim that supermodels have heights with a mean that is greater than the mean of 63.6 in. for women from the general population.
Choose the correct answer below:
a. Reject H0 since the test statistic 0.219 is not greater than the critical value 2.896.
b. Do not reject H0 since the test statistic 4.565 is greater than the critical value 2.896.
c. Reject H0 since the test statistic 4.565 is greater than the critical value 2.896.
d. Do not reject H0 since the test statistic 0.219 is not greater than the critical value 2.896.
Four brands of light bulbs are being considered for use in the final assembly area of the Saturn plant in Spring Hill, Tennessee. The director of purchasing asked for samples of 100 from each manufacturer.
Hypothesis test for the difference between two means - To make the data comparable, certain features, such as the deductible amount and limits of liability, are standardized.
Speaking to a group of analysts in January 2006, a brokerage firm executive claimed that at least 70% of investors are currently confident of meeting their investment objectives.
a) Do a test to see if workers attitudes on this matter have changed using a 90% alpha. b) Explain to management what your findings are and what this suggests about future decisions vs work options.
Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
The heights of young women are approximately normal with mean 65 inches and standard deviation 2.5 inches.
Find the value of sample covariance in linear regression model
What is the probability that a randomly selected monthly cell phone bill is more than $100?
Using equation presented calculate SST,SSE and SSr. Determine least squares regression line for this data.
If a complete failure occurs, calculate the probability that the fault occurred in:
Which option produces the smallest risk of a Type I error?
In studying the performance of the comapany's stock investments over the past year, the research manager of a mutual fund company finds that only 43% of the stocks returned more than the rate that had been expected at the beginning of the year.
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