3. d-separation: How to determine which variables are independent in a Bayes net?GⒸa) Are A and B conditionally independent, given D and F?(Same as "P(A/BDF) =? P(ADF)" or "P(B/ADF) -? P(B|DF)")b)Are A and B marginally independent? (Same as "P(A/B)-? P(A)" or "P(BIA)-? P(B)")Are A and B conditionally independent, given C?c)d) Are D and E conditionally independent, given C?e) Are D and E marginally independent?f) Are D and E conditionally independent, given A and B?

The objective of the question is to determine the independence of variables in a Bayesian network.…

Answered: 3. d-separation: How to determine which…

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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I NEED THE ANSWER TO THE "NUMBER OF DUMMY VARIABLES" A manager of a local package delivery store believes that too many of the packages were damaged or lost. She extracts a sample of 75 packages with the following variables: the package number (Package), the status of the package (Status: Delivered, Damaged, or Lost), the delivery type (Delivery: Standard, Express, or Same day), and the size of the package (Size: S, M, L, and XL). A portion of the data is shown in the accompanying table. Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L ⋮ ⋮ ⋮ ⋮ 75 Damaged Same day M a)Transform the Delivery variable into dummy variables. Use the most frequent category as the reference category. How many dummy variables should be created? Which category of Delivery is the reference category? Number of dummy variables: ???? Reference Category: Standard Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L 3 Lost Standard S 4 Delivered…
7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…
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Suppose you are a basketball coach and you've taken some measures on your starting five players. The two measures that you're most interested in right now are scores on a two-minute jump shot test (x) and time in seconds on a shuttle run (y). You want to determine a couple of things:1) On which variable (jump shots or shuttle run time) are your starters more consistent? 2) For player #1, is she a faster runner or better at jump shots? 3) For player #4, is she a faster runner or better at jump shots? Player # Jump shot score (x) Shuttle run time (y) 1 17 37 2 20 45 3 4 59 4 34 48 5 22 42
2. Investigate using the Chi square test of independence whether the positive and the negative attitudes toward mathematics of 450 fourth year high school students are independent of the course they wou ld like to pursue in college. Use the following data collected by a researcher. For the level of significance, use O. 05 Courses Attitudes Positive Negatives BSE 32 34 BS Accountancy BS Psychology BS Civil Engineering 45 24 15 26 34 4 BSHRM 44 BS in International 17 26 Relation BSCS 15 24 BS Math 32 BSIT 13 12 BS in Biology 31 27
A fair dice with sides numbered with {1, 2, 3, 4, 5, 6} was rolled three times. Let X denote number of times 6 was rolled in the first two rolls and let Y denote the total number of 6 rolled. Find the covariance of X and Y.
Foofy obtained a significant Fobt from an experiment with five levels. She therefore concludes that changing every condition of the independent variable results in a significant change in the dependent variable. (a) Is she correct? Why or why not? (b) What must she now do?
OCPS Dashboard O Tues, Mar 02: Independent Pra X K Sarah Loutfi - Independent Pra X M Verify your email address - srh X b My Questions | bartleby A web.kamihq.com/web/viewer.html?state=%7B"ids"%3A%5B"14npUclxjbYhVGxMylY6MWKGbJBGDS-19"%5D%2C"action"%3A open"%2C"userld"%3A"105426... Q * pps OCPS 9 ni 口 0 Geometry Hon.. Sarah Loutfi - Independent Practice - Student Copy-Le: トくo四 submit - 0, E SI Student Edu 156% Solve for the value of x. Round your answers to the nearest tenth. 5. 6. 7. 20 64° 41° 11 35° Page 1. 9:00 PM 3/4/2021
5 8 Mulitple Choice Identify the type of causal relationship for the example below: "Leadership ability is strongly correlated with academic achievement in high school" A) accidental B) presumed relationship C) cause-and-effect D) reverse cause-and-effect
Q7. A survey was conducted in which 100 males and, independently, 100 females were asked about their respective methods of transportation to work. Participants were asked whether they typically drive to work, use public transportation, or walk / bicycle. The results are given in the table below. Can the investigators conclude that males differ from females in their work commute tendencies? Show your work. Drive Public Transportation Walk or Bicycle 22 Females 71 7 Males 76 18 6 (a) Based on the assumption that female and male tendencies are alike, construct a table of expected frequencies. (b) Use a X² test to evaluate the assumption used in part a. Make sure you indicate which test you are using! (c) Interpret the result of part b in terms of the situation of the problem, without using any statistical language.
A group of Industrial Organizational psychologists wanted to test if giving a motivational speech at the end of a meeting would encourage office workers to have a higher output to their work based on the numbers of sales each workers made. The group tested 10 participants that were in two conditions where one meeting ended in a motivational speech and another were no motivational speech was given. Here are the number of sales that was produced by the 10 participants for both conditions: Yes speech: 2, 6, 1, 9, 3, 12, 8, 0, 5, 1No speech: 3, 0, 5, 10, 1, 8, 2, 1, 9, 11Use the four steps of hypothesis testing to find out if there is a significant difference between the two groups, using APA format to answer the question.

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