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A new report claims that 45% of enlisted personnel who have spent at least 4 years and no more than ten in service complete a bachelor's degree, 25% complete some college work, 15% don't seek extra college-level training, and 15% are not accounted for. You wish to see how frequencies determined in population compare with particular local Navy base, so you take easy arbitrary sample of 500 enlisted sailors who have finished between 4 and 10 years in Navy. You determine that 275 completed college degree, 88 have completed some college work, 37 have not required extra college-level training, and rest of the sailors arn't accounted for. How does your sample compare to what you expected to determine?
a) To see how your local Naval base compares to report of all enlisted workers, you will use a
b) Define null hypothesis.
c) Explain how statistics for test you have selected.
d) Are results statistically important? Explain why or why not?
Using part(a), explain to investor differences between distribution of performance figures for the 2 kinds of stock funds.
An advantage of the permutation test over the t test for a difference in means, can Permutation tests be used for tests when we believe the two populations differ under the null hypothesis.
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
If the estimate is to be within 8 mpg of the true mean with 98% confidence and the estimated standard deviation is 22 mph, how large a sample size must be taken?
Find out the operating characteristics for this system.
To test whether there is a significant mean difference among the three.
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
What is the equation for this regression model?
Investigate the cost of a home mortgage and to determine the monthly payment.
The amount ($1.00, $5.00, $10.00, $25.00, or $50.00) promised to each person was determined by randomization. For each person who was sent one of the surveys, The value of the X2 test statistic for testing the hypothesis
What would that evaluation be and what is the margin of error?
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