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Q1) Utility company serves 50,000 households. As part of survey of customer attitudes, they take simple random sample of 750 of these households. Average number of television sets in sample households turns out to be 1.86, and SD is 0.80. If possible, determine a 95% confidence interval for average number of television sets in all 50,000 households. If this is not possible, describe why not.
Q2) Out of the 750 households in survey of the previous exercise, 451 have computers. If possible, determine a 99.7% confidence interval for percentage of all 50,000 households with computers. If this is not possible, describe why not.
Multiple comparison procedures are going to be done using the Bonferroni method with = 0.05. The value of t** is 2.4667. Which of the following is the appropriate conclusion from carrying out these multiple comparisons?
In a simple linear regression analysis of 18 data points the following ANOVA table was found.
At.01 significance level, can we conclude that there is more variation in selling prices of oceanfront homes?
If he selects the three brands at random, what is the probability that he will select the following?
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
Formulate the hypotheses to test to see if the mean of the population is at least 12 ounces.
Using the first two digits of the measurement as your stem, construct a stem and leaf display of the data above.
The average hourly wage of employees of a certain company is $9.83. Assume the variable is normally distributed.
Last school year, student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classificati..
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
At the 0.10 level of significance, is the coin biased toward heads? Show your decision rule and calculations.
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
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