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A private medical clinic wishes to evaluate true mean annual income of its patients. Clinic requires to be within $200 of true mean. Clinic evaluates that true population standard deviation is around $1,300. If confidence level is 95%, determine the required sample size in order to meet desired accuracy.
What is the estimated standard error of the sample mean? Construct a 95 percent confidence interval for the population mean category fluency test score.
Method of assigning probabilities based on historical data is known the?
Overall, the amount of work-hours involved in the festival preperation is normally distributed around 100 hours withn a standard deviation of 12 hours.
Construct three scatter plots for: (1) percentage alcohol versus calories, (2) percentage alcohol verses carbobydrates, and (3) calories versus carbohydrates
Explain the distribution of mean of samples of size 15.
Describe in some detail how a hypothesis test could be used in some real world context such as business, politics, church, Girl Scouts, school, or perhaps your place of work.
A survey is planned to determine the mean annual family medical expenses of employees of a large company. The management of the company wishes to be 95% confident that the sample mean is correct to within plus-or-minus $50 of the population mean.
What is the aim of multiple linear regression? Discriminate analysis? Canonical correlation? Multivariate analysis of variance?
In a standard normal dist. what is the prob. of getting a value less than 1.63? How about between 1.13 and 1.86? How about greater than .58?
The average age of the women was 45.582 with a standard deviation of 5.143. He uses this information to calculate a 95% confidence interval for the differnce in means, (-11.41, -5.422). The best interpretation of this interval is which of the foll..
I have computed an analysis of variance for three groups with 10 observations per group. Evaluate the degrees of freedom for the F test
Cheating Gas Pumps When testing gas pumps in Michigan for accuracy, fuel-quality enforcement specialists tested pumps and found that 1299 were not accurate (within 3.3 oz when 5 gal is pumped), and 5686 were accurate.
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