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1. Con?dence level and interval width. Refer to Exercise 8.17. Would a 90% con?dence interval be wider or narrower than the one that you found in that exercise? Verify your results by computing the interval.
2. Student loans larger than $30,000. A survey of 1280 student loan borrowers found that 192 had loans totaling more than $30,000 for their undergraduate education.16 Give a 95% con?dence interval for the proportion of all student loan borrowers who have loans of more than $30,000 for their undergraduate education.
The manufacturer of a computer terminal reports in its advertising that the mean life of the terminal, under normal use, is 6 years, with a standard deviation of 1.4 years.
If the salaries are normally distributed with a standard deviation of $5,000, find the probability that An individual graduate will have a salary over $45,000.
a large firm has 85 of its service calls made by a contractor and 10 of these calls result in customer complaints. the
1. The speed of automobiles on a section of I-95 is normally distributed with a population mean of 65 miles per hour and a population standard deviation of 8 miles per hour. A random sample of 30 cars is to be selected for a speed study.
test the significance of the correlation coefficient r at a 0.05 for the data below.x values 55 61 70 78 88y values 89
Compute the 95% confidence interval on the population mean if a sample of 1000 is taken and the sample mean is found to be 15.95 and standard deviation is 4.2.
How many men and women are needed to generate a 95% confidence interval estimate for the difference in proportions with a margin of error not exceeding 4%?
question a researcher conducted and experiment on the effects of a new drug on depression. the researcher had a
let x be random variable with the following probability
If three of these computers are placed in parallel aboard the proposed space station, what is the system reliability for the first 6 months of operation?
the average life of a certain type of small motor is 10 years with a standard deviation of 2 years. the manufacturer
Develop a linear regression model for these data and forecast the occupancy rate for next year if the Blue Sox win 88 games.
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