1. The General Social Survey asked a sample of adults how many siblings (brothers and sisters) they had (X)and also how many children they had (Y). We show results for those who had no more than 3 childrenand no more than 3 siblings. Assume that the joint probability mass function is given in the followingcontingency table.yX01230 0.13 0.10 0.07 0.0310.12 0.16 0.08 0.042 0.02 0.06 0.08 0.040.02 0.03 0.013 0.01 d. Find ux and uy.e. Find ox and oy.f. Find Cov(X,Y).g. Find p(X,Y).

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which of the following are true when considering the probability of spinning a multiple of 5 on an equal section spinner with numbers 1-20? which apply. a. P(A) = ⅕ b. n(S) = 20 c. n(A) = 4 d. n(A’) = 16 e. P(A) = 20% f. A = {5,10,15,20} g. P(A) = 4/20 h. P(A’) = ⅘ i. P(A’) = 0.8 j. S is all numbers between 1 and 20 inclusive
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The reported rate for colorblindness for men ages 65 and older is 12%. Assume this estimate is the true population proportion of men ages 65 and older. A SRS of 25 men ages 65 and older is taken. Calculate the probability that proportion of men ages 65 and older who have colorblindness is more than 0.10. A. 3783 B. 6217 C. This can’t be done because np is not greater than D. This can’t be done because n is not greater than 30 and we are not told that the variable is normally distributed.
According to a recent National survey of 200 High School students of driving age, 43 percent stated they text while driving at least once. Assume this percentage represents the true population proportion of High School student drivers who text while driving. Determine the probability that more than 53% High School students have texted while driving. a. 0.9979 b. none of these d. 0.0021 Oe.0.0286
. You are given the following. 470 = 0.04 471 = 0.05 • deaths are uniformly distributed within cach year of age. Calculate the probability that (70) will die between ages 70.5 and 71.5. a. Less than 0.0432 b. At least 0.0432, but less than 0.0437 C. At least 0.0437, but less than 0.0442 d. At least 0.0442, but less than 0.0447 e 0.0447 or more
You are a doctor ,a and on average you meet with 30 patients per day. Assuming the NHANES dataset is representative of your patient population, calculate the following. 1. The probability of a single individual having health insurance. = 0.8807812125569134 2. The probability that 3 people in a row will not have health insurance. 3. The probability that 1/3 of your 30 patients for the day do not have health insurance
Find the experimental probability of rolling a 2 after 50 rolls of the cube. A. 16% B. 50% C. 8 D. 8/24 (<----fraction)
Suppose that a screening test diagnoses 97% of sick people positive and 95% of healthy people negative. Assume that 7% of those screened are sick. If a screened person is chosen at random, then the probability of having a positive diagnosis is: O a. 0.0184 O b. 0.886 Oc. 0.406 O d. 0.594 O e. 0.114 Next p vity Jump to.. 2021
Suppose S = {a, b, c} and we try to define the following probability measure on S: P({a, b, c}) = 1 P({a, b}) = 0.7 P({a, c}) = 0.5 P({b, c}) = 0.7 P({a}) = 0.2 P({b}) = 0.5 P({c}) = 0.3 Is P a valid probability measure? Why or why not?
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23. Flip six unfair coins where, for each coin, P(H) = 0.20 and P(T)= 0.80. Let X be the total number of heads. Find P(X = 4), the probability of getting 4 heads. A. 0.04536 %3D B. 0.03536 C. 0.02536 D. 0.01536

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