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Assume for the sake of this question that GRE scores are normally distributed with a mean of 1000 and a standard deviation of 200. What percentage of students taking the exam will get scores of 1400 or higher?
Find the margin of error for the 95% confidence interval used to estimate the population proportion.
In a class of 40, 16 driver a car made outside the United States. What is the confidence interval for the total population of students at the 95% level?
Downhill Ski Resort in Colorado has accumulated information from records of the past 30 winters regarding the measurable snowfall. This information is as follows:
What was the highest score earned on the exam? According to Chebyshev's Theorem, how many students scored between 42 and 74?
Critically discuss the purpose of developing a frequency distribution? What is the relationship between the relative frequency and the cumulative frequency? Could a frequency distribution contain qualitative data? Why?
What is the point estimate of the difference between the population mean expenditure for males and the population means expenditure for females?
The researcher will then compare the scores for the 2 treatments. If there is a difference between the 2 groups of scores, briefly explain how the difference may have been caused by the treatment.
Is there evidence that the waiting time at this particular restaurant is less than 3.7 minutes? Use a 1% level of significance. What is your conclusion?
Normally distributed about a mean value of 580 with a standard deviation of 60. Determine what percentage of the students scored higher than 750 on the exam.
The firms are actually violating at least one regulaltion, what is the pmf of the number of firms visited by the inspector that are in violation of at least one regulation?
With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies.
Test the hypothesis that = 800 hours against the alternative 800 hours if a random sample of 30 bulbs has an average life of 788 hours. Use a 0.04 level of significance.
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