Stat2Lab19

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University of California, Berkeley *

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2

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Statistics

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Apr 3, 2024

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pdf

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3

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Stat 2 Lab #19: Estimation and confidence intervals Learning objectives: Calculate the expected values and SEs for different statistics Compute confidence intervals for the population average Use CLT and rules of thumb to determine if computing a confidence interval using the normal table is appropriate for a given statistic, and apply it if so Identify correct and incorrect interpretations of confidence intervals 1. Complete the following table with the appropriate equations. Statistic Expected value Standard error Sum of draws for general box Sum of draws for 0-1 box Sample average Sample percentage 2. A box of 2000 tickets has an average of 35 and a standard deviation of 15. A histogram of the values on the tickets does not follow the normal curve; in fact, it is quite skewed to the left. 400 draws will be made at random with replacement from this box. (a) What is the expected value of the sum of draws? ___________ What is the standard error of the sum of draws? ___________ (b) What is the expected value of the average of the draws? ___________ What is the standard error of the average of the draws? ___________ ~ number of draws x any of box number of draws < SD of box W number of draws x any of box number of draws < SD of box 3D of box = /1 - 0) x fraction of Is x fraction of Is = population any population SD ~ = avg of box emplesize or box e ~ any of box x 100 % SD of box x 100% = population percentage # of draws ~ ~ 14000 300 EV : 400/35) = 14000 SE : 100 x 15 = 300 W 3 5 0 . 75 EV : 35 = pop arg SE : = 0 . 75 400
(c) Use the normal approximation to find the chance that the average of the draws is less than 36.5. (d) Will the approximation in part (c) be a good approximation to the probability histogram for the average of the draws? Circle YES or NO and justify your answer: 3. Imagine you have been hired to analyze the data from a research study in which participants were drawn from undergraduate psychology courses. (For the purposes of this problem, you may assume that the participants represent a simple random sample from the population of all students in undergraduate psychology courses, although that is often not the case.) In the study, participants were given the Beck Depression Inventory (BDI), a 21-item measure of depressive symptoms with scores ranging from 0 to 63. Among the 120 study participants, the average score was 10 points; the standard deviation was also 10 points. (a) To make a confidence interval, you need a box model. Are the AVG and SD of this box known or estimated? ___________________ (b) Compute a 95%-confidence interval for the average BDI score of all students in undergraduate psychology courses. ~ avg < 36 5 36 5 - 35 -- 2 EV = 35 0 . 75 SE : 0 . 75 area = 95 45 95 45/2 = 47 775 - 50 + 47 725 : 97 725 merl 97 725 % chance 35 36 5 ~ yes , because we know the sample size (400) is large enough , so the probability histogram would appear like a normal model W estimated (when pop is unknown W EV : 10 SE : # = 0 9129 & for 95 % : 1 . 95 10 I 1 . 95 (0 . 9129) = 10 I 1 . 7802 = (8 2198 , 11 . 7802)
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