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A research firm conducted a survey to determine how much money married couples spend each year on movies. After surveying 90 couples, they determined the mean of their sample to be $150 and the standard deviation was $5.
A. What is the 95% confidence interval for the population mean?
B. Please interpret the meaning of the confidence interval.
State the hypotheses for a right-tailed test. Obtain a test statistic and p-value assuming unequal variances. Why might the sample data not follow a normal, bell-shaped curve? If not, how might this affect your conclusions?
If not what would be a better testing strategy? Could you form a Null Hypothesis or an Alternative Hypothesis? If yes, what would they be.
For each of the following populations, would a score of X = 50 be considered a central score (near the middle of the distribution) or an extreme score (far out in the tail of the distribution)?
What type of probability distribution is presented? Find the probability that exactly 5 of his saplings will die in that first winter. Round to 4 decimal places. Find the probability that 5 or less of saplings will die in that first winter. Round to ..
Use the normal-theory method to test for significant differences in 12-month mortality between the two groups.
Two rainstorms occurred in one week in a certain area. The first storm lasted 25 hours, and the second storm lasted 35 hours, for a total 2050ml of rain.
Pools sells above ground model for 'p' dollars each. The monthly revenue from the sale of the pool is given by
Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0?
Determine the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect?
A side effect of a certain anesthetic used in surgery is the hiccups, which occurs in about 10 percent of the cases. If three patients are scheduled for surgery today and are to be administered this anesthetic, compute the probability that:
Predict the final average of a student who made an 83 on the first test. Give the value of r and r squared for this model. Interpret the value of r squared in the context of this problem.
Standard deviation of 30 lb. Find the percentage of such weights between 190 lbs and 225 lbs. among 400 men aged 18 to 74, how many are expected to weigh between 190 lbs and 225 lb.
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