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The director of human resources at a large firm is comparing the distance Traveled to work by employees in their office in downtown Atlanta with the distance for those in the downtown Jacksonville office. A sample of 21 Atlanta employees showed they travel a mean of 452 miles per month, with a sample standard deviation of 39 miles. A sample of 18 Jacksonville employees showed they travel a mean of 399 miles per month, with a sample standard deviation of 33 miles. At the 0.05 level of significance is there a difference in the mean number of miles traveled between the two groups?
If 900 users visited the site, would the probability that more than 250 of them click on an ad be higher or lower than the answer found in part
Build regression models for predicting house prices. We will be using data collected on 91 houses in Gainesville, Florida. The dataset contains the selling price of each house and information on four other explanatory variables.
Denote the Bergen County population mean as µ1 and the Morris County population mean as µ2. Using a significance level of your choice, carry out a hypothesis test for H0: µ1 ≥ µ2.
Reject H0 at β β = .01; there is evidence of a difference between the mean voter turnouts for urban, suburban, and rural precincts.
To test whether there is significant mean difference between two groups using independent sample t test.
At the .05 significance level, can she conclude that there is a difference in the mean amount of weight loss among the three diets?
A manufacturer claims that the mean lifetime of its light bulbs is 55 months. The standard deviation of these lifetimes is 6 months. Twenty-two bulbs are selected at random, and their mean lifetime is found to be 56 months.
You are asked to test his claim. How would you write the null hypothesis if: a) you represent the internet provider and want to support the claim?
Using a random sample of 100 newly-packed Chococake, it is found that the mean shelf life is 154 hours. Can the cake house manager conclude that the new packaging technique is efficient at 0.01 significance level?
Variance of 4.2 and mean of 23.2 were calculated. Find out 95% confidence interval on mean and standard deviation. Describe any potential problems with this analysis.
Is there sufficient evidence at the 0.05 level of significance to conclude that the proportion of women physicians at the university health system exceeds 27.9%?
A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0 ppm.
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