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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. (Assume these are population values.) A sample of 90 units sold 10 years ago revealed the following distribution of the lengths of life. At the .05 significance level, can the manufacturer conclude that the terminal lives are normally distributed?
Length of life (years) FrequencyUp to 4 74 up to 5 145 up to 6 256 up to 7 227 up to 8 168 or more 6
Construct the 95 percent confidence interval for the difference between the two population means.
Explain the difference between a discrete and a continuous random variable. Give two examples of each type of random variable.
If the population mean is estimated within two days, how many salespeople should be sampled?
Is there a significant difference between the scores between the Republicans and the Democrats?
For a normal population with u. = 80 and a = 20 which of the following samples is least likely to be obtained?
What is the probability that no more than two of the three are commercial successes?
Construct a frequency distribution and construct a histogram for the following data and use seven intervals, starting with 30-39.
Suppose that 46 percent of families living in a certain country own a car and 18 percent own an SUV. The Addition Rule might suggest, then, that 64 percent of families own either a car or an SUV. What's wrong with that reasoning.
For the most recent year available the mean annual cost to attend a private university in the US was $26,889. Assume the distribution of annual costs follows a normal probability distribution and the standard deviation is $4,500. 95% of all studen..
Explain which indicate that changes in the concentration of carbon dioxide which cause changes in the global temperature
Test hypothesis that people in State A are more depressed than U.S. population. Illustrate all of your hypothesis steps. (Use alpha = .01.)
The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.50 inches.
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