George Question 12 1 pts The probability that a random person is a smoker is P(S) = 0.18, whereas the probability that a random person is a hospital patient is only P(H) = 0.09. If the joint probability of a person being a smoker and a hospital patient is 6%, then what is the conditional probability that someone is a smoker given that they are hospital patient? 0.50 0.67 0.33 0.16 NextGeorge Question 13 1 pts If P(A U B) = 0.80, P(B) = 0.37, and P (An B) = 0.11, ther . P(A) = 0.43 . P(A) = 0.30 . P(A) = 0.65 . P(A) = 0.54 NextQuestion 14 1 pts Calculate V[X] for the following random variable: Xi -7 -1 3 5 6 8 p(x;) 0.10 0.15 0.27 0.18 0.12 0.19 18.95 4.35 28.46 X is not a valid random variable NextQuestion 6 1 pts Consider the following population (N = 10) and the subsequent 2-stage sampling process: 3 3 9 3 5 3 3 Stage 1: Starting with the second smallest observation, you take a systematic sample of every 2nd observation (n = 5). Stage 2: You take a simple random sample of size n = 1 from your Stage 1 sample. What is the probability that the observation in your final sample is a 3? 0.8 0.4 0.2 0.6 NextQuestion 7 A tetrahedral die has 4 consecutively numbered faces starting with "l' IIi.e.. it is a pyramid with a triangular base}. If you take two tetrahedral dice and one conventional {ii-faced) die. and roll all 3 of them simultaneously for a single throw-r. what is the probability that the total of all 3 dice will be exactly equal to '8'? Question 8 1 pts Researchers found a strong statistical effect of study time on exam scores such that, on average, each additional 10 hours spent preparing for an exam improved student scores by 0.21%. This is an example of: Statistical insignificance and practical importance Statistical insignificance and no practical importance Statistical significance and practical importance Statistical significance but no practical importance NextQuestion 9 1 pts Which of the following statements is incorrect? Bessel's correction is related to the sample variance denominator Bessel's correction accounts for the loss of degrees of freedom Bessel's correction adjusts for sample variance bias Bessel's correction decreases sample variance, ceteris paribus Next