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The average monthly electric bill of a random sample of 256 residents of a city is $90 with a standard deviation of $24.
a. Construct a 90% confidence interval for the mean monthly electric bills of all residents.
b. Construct a 95% confidence interval for the mean monthly electric bills of all residents.
A recent study claimed that 15% of all eighth- grade students are overweight. In a sample of 80 students, 9 were found to be overweight. At a= 0.01, is there enough evidence to reject the claim using critical values?
Industry standards suggest that 13 percent of new vehicles require warranty service within the first year. Compute the mean and standard deviation of this probability distribution.
How many months must be sampled for analysis to be 99% confidence that the error in estimating the average monthly price of gasoline is at most $0.03.
What is the research hypothesis? Should you conduct a one-or two tailed test? Why?
A population has a mean = 80, with standard deviation = 8. The distribution of sample means for samples of size n = 4 selected from this population would have an expected value of?
A sample of 81 account balances of a credit company showed an average balance of $1,200 with a sample standard deviation of $126. You want to determine if the mean of all account balances is significantly different from $1,250. Use a .05 level of ..
The engineer can spend $173 for the two components. To the nearest two decimal places, what is the largest component probabilty that can be achieved?
Charmers' Candy Store sells wrapped hard candies in the following flavors: strawberry, blueberry, lemon, lime, and orange. They advertise that there are equal proportions of each flavor in every size of their candy boxes.
question a bed and breakfast breaks even every month if they book 30 rooms over the course of a month. their fixed cost
The probability of an randomly selected person quits a team is 0.125. Assume the team has n members. Determine the smallest n that the team needs to have if the probability of the team has at least 20 members left is 0.9.
Bbutton to determine whether the design of the control panel was contributing to the high rate of accidents in the plant. The resulting scores were as follows:
Obtain the estimated regression function. Plot the estimated regression function and the data. Does a linear regression function appear to give a good fit here?
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