Question
Fifty students take midterm and final exams. On the midterm exam, the mean score is 45.0 and the standard deviation is 7.00. On the final
Fifty students take midterm and final exams.
On the midterm exam, the mean score is 45.0
and the standard deviation is 7.00. On the final
exam, the mean score is 85.0 with a standard
deviation of 14.00. The correlation coefficient
of the two scores is 0.64.
Obtain the least squares regression line for using the final exam score to predict the midterm
exam score.
47. Fifty students take two midterm exams. On the
first exam, the mean score is 65.0 and the standard deviation is 7.00. On the second exam,
the mean score is 55.0 with a standard deviation of 10.00. The correlation coefficient of the
two scores is 0.70.
Obtain the least squares regression line for using the second exam score to predict the first
exam score.
Homer performs three simulation studies. His
population is skewed to the right. For one study
he has his computer generate 10,000 random
samples of size n = 10 from the population.
For each random sample, the computer calculates the Gosset 95% confidence interval for
and checks to see whether the interval is correct. His second study is like his first, but
n = 100. Finally, his third study is like the first,
but n = 200. In one of his studies, Homer obtains 9,504 correct intervals; in another he obtains 9,478 correct intervals; and in the remaining study he obtains 8,688 correct intervals.
Based on what we learned in class, match each
sample size to its number of correct intervals.
Explain your answer.
40. Independent random samples are selected from
two populations. Below are the sorted data from
the first population.
362 373 399 428 476 481
545 564 585 589 590 600
671 694 723 724 904
Hint: The mean and standard deviation of these
numbers are 571.1 and 144.7.
Below are the sorted data from the second population.
387 530 544 547 646 766
786 864
Hint: The mean and standard deviation of these
numbers are 633.8 and 160.8.
(a) Calculate Gosset's 90% confidence interval for the mean of the first population
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