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The administration at the university of Georgia is interested in determining if a parking problem exists for their students. The administration selects a randome sample of 200 students and asks them to estimate the amount of time it took the student to park the last time they were in campus. In addition parking time variable collected by the administration is an example of a ___________ random variable and parking are variable is an example of a ____________ random variable.
A) Continuous, continuous
B) Discrete, discrete
C) Continuous, discret
D) Discrete, continuous
If alternate hypothesis mention that m doesn't equal 4,000, determine the rejection region for the hypothesis test?
For the past 20 years, the high temperature on April 15th has averaged (j = 62 degrees with a standard deviation of a = 8. Last year, the high temperature was 66 degrees.
You're responsible for planning parking needed for a new 256-unit apartment complex, and you're told to base the needs on the statistic 'average number of vehicles per household is 1.9'.
Is there significant evidence that this production run doesn't meet specifications? Use a 1% level of significance.
Develop a joint probability table for these data. If a student goes full time, determine the probability that school quality is first reason for selecting a school?
Determine a 95% confidence interval for the population mean.
Use a 95% confidence interval for multiple comparisons. Show your calculation by hand between Monday and Tuesday. Match your answer with Minitab output. Attach Minitab output.
The instructor plans to draw a histogram of the 1,100 sample proportions. What will be the approximate mean for the 1,100 sample proportions?
Store used ANOVA to test if mean sales for each credit card were equal. What are the degrees of freedom for F statistic?
If 100 percent of a days production is inspected whenever the sample of 10 gives 2 or more defectives, then what is the pobability that 100 percent of a days production will be inspected?
You calculate the difference in income as (after incentive plan - before incentive plan). You want to test whether income after the incentive plan is different from income before the incentive plan. What are the hypotheses for this test?
A random sample of 400 observations produced a sample proportion of 0.32. What is the standard error to construct a 99.5% confidence interval.
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