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1. Suppose you are testing H0: N(55, 64) vs. H1 N(45, 49), with α = .05. Your test will be one draw x from one of these two populations. What is your critical boundary for x (not the one for the z score of x)? For what values of x would you reject H0? if You standardize H0 to N(0, 1). What is H1? What is β? What is the probability of a Type I error? 2.Suppose you are testing H0: N(3, 2) vs. H1 N(2, 2) where, α = .05, x = 2.2, and n = 14 (variance known). What is the value of the appropriate test statistic? Also, use the table to estimate the p-value to the closest value available.
To find the 95 percent confidence interval for the true population mean. From the results below, is it true that 95% of the sample means will fall
Construct a 95% confidence interval for the difference in the proportions of women and men who have regular exercise programs.
Fast Service, a chain of automotive tune-up shops, advertises that its personnel can change the oil, replace the oil filter, and lubricate any standard automobile in 15 minutes, on the average.
A particular bulb is turned on once each evening for an average of 10 hr. If it is desired to have a reliability of 90 percent, what is its design life in days?
The mean annual salaries paid to male and female employees of the company were EURO 32.000,- and 24.000,- respectively. Determine the percentage of males and females employed by the company.
Determine the minimum required sample size if you want to be 99% confident that the sample mean is within 2 units of the population mean given sigma = 7.8. Assume the population is normally distributed.
What does a line plot do to the shape of the graph of time values which are not uniformly spaced? Would an XY plot show the shape of the data more accurately?
Randomly selected cans of Coke are measured for the amount of cola in ounces. The sample values listed below have a mean of 12.19 ounces and a standard deviation of 0.11 ounces. Use a 0.05 significance level to test the claim that cans of coke hav..
A survey of 30 adults found that the mean age of a person's primary vehicle is 5.6 years. Assuming the standard deviation of the populaiton is 0.8 year, find the 99% confidence interval estimate for the population mean.
Suppose that the number of babies born during an hour at a hospital's maternity wing follows a Poisson distribution with a mean of 4 per hour.
Using the least-squares regression line, what would be the predicted number of visitors for a senior citizen whose level of activity was 5? How about a person who scored 18 on level of activity?
At the .01 significance level can we (she) conclude that the true average daily amount of tips is greater than $80? yes or no.....
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