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Now, let's look at a different linear combination. Suppose we are interested n comparing the average mean log income for no college education (< 12; 12) to the average mean log income for any college education (13 15; 16;> 16).
1. Write out the linear combination of means we are after in terms of s. Be sure to include all groups to explicitly show work.
2. What are the coefficients of the linear combination in (1)? (i.e. What are the C's)
3. Write out the estimator of the linear combination (g)
4. Obtain an estimate using the group averages directly.
5. Calculate the SE of the estimate using the Display 6.4. 6. Construct a 94% confidence interval for the linear combination.
Statistical Definition of probability: Ques: (a) (i) Distinguish Statistical Definition of probability from the Classical Definition. (ii) State the A
find the expected value of the mean square error and of the mean square reggression
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For each of the following situations choose the statistical model that you find to be the most appropriate. Justify your choice. a) We are interested in assessing the effects of
You are interested in testing the distance of two golf balls, Brand A and Brand B. You take a random sample of 100 golfers, each of whom hits Brand A once and Brand B once. Define
method of least square
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