MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- 2 Here, we define random variables as B = Three balls are selected from a bag that contains 3 blue, 2 green, and 5 yellow balls. number of blue balls drawn, G = number of balls drawn, Y = number of yellow balls drawn. Please list the following values: (a) The joint probability mass function PG,B (g, b). green The marginal probability mass function pĠ (g) and pÅ (b). The joint distribution function FG,B (g, b). (b) (c) (d) (e) The marginal distribution function FG (g) and FB (b). The conditional probability mass functions PG|B. Are B and G independent? the results of (a) and (b) in one table and the same for (c) and (d)arrow_forwardDecide whether the random variable X is discrete or continuous. X represents the tension at which a randomly selected guitars strings have been strong.arrow_forwardc) Let Y be the random variable with the time to hear an owl from your room's open window (in hours). Assume that the probability that you still need to wait to hear the owl after y hours is: 0.3e-0.5 y + 0.6e-0.25 y Find the probability that you need to wait between 2 and 4 hours to hear the owl, compute and display the probability density function graph as well as a histogram by the minute. Compute and display in the graphics the quartiles of the waiting times.arrow_forward
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- help please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all workingarrow_forwardChoose ALL THE CORRECT STATEMENTS in the following ones about probability distribution. i. Probability mass function indicates the probability distribution of a continuous random variable. ii. Probability mass function indicates the probability distribution of a discrete random variable. iii. The probability mass function of a discrete random variable X at a is denoted by P(X < a). iv. The probability function of a continuous random variable Y can be described by using P(Y= a).arrow_forwardI need part d) ONLYarrow_forward
- Consider rolling 2, 3-sided dice. Let X = the sum of the dice. Let Y = the product of the dice. a. Find the joint probability function for X and Y. b. Find the marginal probability functions for X and Y. Find P(X > 3|Y = 3) C.arrow_forwardSuppose that Y. .., Y, are i.i.d. random variables with a N(uy, o) distribution. How would the probability density of Y change as the sample size n increases? Hint: Think about the law of large numbers. HY: A. As the sample size increases, the variance of Y decreases. So, the distribution of Y becomes less concentrated around B. As the sample size increases, the variance of Y increases. So, the distribution of Y becomes less concentrated around uy. O C. As the sample size increases, the variance of Y decreases. So, the distribution of Y becomes highly concentrated around uy. O D. As the sample size increases, the variance of Y increases. So, the distribution of Y becomes highly concentrated around uy.arrow_forwardSuppose that X and Y have following joint probability distribution: F(x,y) X 2 1 0.10 y 3 0.20 5 0.10 a.) Find the marginal distribution of X. b.) Find the marginal distribution of Y. LO 4 0.15 0.30 0.15arrow_forward
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