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Assume we interested in relationship between the age of individual, as measured by visits. Suppose after selecting 15 members the observation:
Visits: 3 5 4 2 1 3 6 7 4 5 10 1 2 3 8Age: 28 45 50 19 16 27 54 63 32 42 68 19 23 30 61
Use this data to find the Covariance between age and the number of visits.
Plot the control limits for the mean outside diameter and the range.
Based on these data, does it seem that strength of relationship between sales and promotions expenditures is enough to permit using linear regression forecasting model? Describe why?
Create the corresponding decision tree and make recommendations.
Suppose that verbal scores on SAT exam have a normal distribution with a population mean 500 points and population standard deviation of 100.
A small town has a population of 20,000 people. Among these 1,000 regularly visit a popular local bar. A sample of 100 people who visit the bar is surveyed for their annual expenditures in the bar.
Four percent of DVD players manufactured by an electronics company are defective. Suppose six DVD players are randomly selected from the production line. Each DVD player is determined to be defective or non-defective.
Random number generation based on discrete distribution and evaluate the average queue length, waiting time, and percentage utilization for each system.
Produce a printout of the frequency tables, showing the total of both frequencies.
Given that this sample is extremely large, can the responses be considered to be representative of the population of the United States? Explain.
What does null hypothesis for repeated-measures hypothesis test state?
Consider a hypothesis test that uses a 0.05 significance level to test the claim that the mean body tem of the population is less than 98.6
At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. What is the value of your test statistic.
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