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The following data set shows the ages of the first 7 presidents and the 7 most recent presidents including President Obama. Age is given at time of inauguration.
First 7: 57 61 57 57 58 57 61Second 7: 61 52 69 64 46 54 47
a. Find the mean, median, and range for each of the two data sets.b. Find the standard deviation using the rule of thumb for each of the data sets.c. Compare the two sets and describe what you discover.
Assume that the random sample of 200 light bulbs has mean life of 635 hours and standard deviation of 48 hours. Before applying Empirical Rule, what suppositions requires to be made about distribution of lifetimes of light bulbs?
At the .05 significance level, is there a difference in the mean number of calls per day between the two employees?
Critically discuss the assumptions, if any, regarding a Chi-square test? What are the assumptions to apply linear regression?
Calculate the mean of the 20 samples and draw a histogram showing the 20 sample means and describe the distribution of the x-bars that you see in part b (shape of distribution, center, and the amount of dispersion).
Shaver Manufacturing, Inc., offers dental insurance to its employees. A recent study by the human resource director shows the annual cost per employee per year followed the normal probability distribution
At α = 0.01, is the degree of certainty independent of credits earned?
Determine the probability of randomly selecting 10 production employees on hot summer day and determining that none of them are absent?
A recent study of breast cancer revealed that 13% of the women in the sample used antibiotics more than 500 days in their lifetime.
The MBASAL file contains the salary offer (in thousands of dollars) received by each member of a sample of 50 MBA students who graduate from the graduate school of management at Rutgers
Point is uniformly distributed in the unit sphere in three dimensions. a) Determine the marginal densities of the x, y, and z coordinates.
What terms describe the fit of a regression equation to the data? What is the practical use of the regression equation in the real world? Explain with some examples.
Write matlab Code for regression. one paragraph discussion of the project comprising method used and conclusions: regression results
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