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A researcher desires to estimate the difference in means of two populations. To accomplish this, she takes a random sample of 81 items from the first population. The sample yields a mean of 168 with a variance of 324. A random sample of 64 items is taken from the second population yielding a mean of 161 with a variance of 625. Compute a 94% confidence interval for the difference in population means.
My calculation comes up with 1.25 to 10.49. Is this correct?
A simple random sample of 50 speeds (in mph) is obtained from cars traveling on a section of I-10 through Tallahassee. The sample has a mean of 72.3 mph and a standard deviation of 7.4 mph. Use a 0.05 significance level to test the claim that the ..
The x and the y variable in the table below are correlated. Determine the 'R' value, and then determine the regression equation.
Recognize the given samples are independent samples or matched pairs.
Why do so many of life's events share the same characteristics with Central Limit Theorem? Why are estimations and confidence intervals important?
Find the critical F value for the Following,
A post office has a single line for customers waiting for the next available postal clerk. There are two postal clerks who work at the same rate.
Determine the probability distribution associated with these data.
each person received was determined by randomization. For each person who was sent one of the surveys, the researcher recorded whether or not a completed survey was returned.
With more then a million teachers set to retire we are seeing a record number of turnovers in the teaching profession.
Suppose you are on a test and are asked to determine whether the given experiment is binomial, Poisson, or neither. What are you going to think about to determine which test to use. Do you have a checklist? How would you approach this problem?
The winning team's score in 13 high school basketball games was recorded. If the sample mean is 54.3 points and the sample standard deviation is 11.0 points, find the 98% confidence interval of the true mean.
When using dummy variables in a regression equation to model a qualitative or categorical variable, the number of dummy variables should equal to
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