Mr. Dela Cruz can take either two roads tothe airport from his home (Road A orRoad B) owing to varying trafficconditions that travel times on two roadsare not fixed, rather on a Friday aroundnoon that travel times across these roadscan be approximated per normaldistribution as follows:Road A: Mean = 54 Minutes, Variance = 5minutesRoad B: Mean = 54 Minutes, Variance = 10minutesWhich road should he choose if on Fridaynoon he must be at the airport within 50minutes to pick-up his wife? Please statethe exact number of minutes he will arrivein the airport (State your answer followingthis format: Road ?=? minutes)

Given that: Road A: μ=54σ2=5 Road B: μ=54σ2=10

Answered: Mr. Dela Cruz can take either two roads…

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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If the data points do not lie in a straight line, there is no relationship between the variables True False
Which of the following sets of data represent valid functions? OR = {(– 5,0), (2, 3), (6, 4), (8, 9), (15, 14)} OG = {(– 5, – 3), (2, 1), (2, 4), (8, 7), (15, 13)} OS = {(– 5, – 4), (2, 3), (6, 5), (7, 9), (11, 16)} OF = {(– 4, – 1), (3, 2), (5, 4), ( – 4, – 1), (10, 15)} - - Question Help: DVideo
If most of the scores in a large data set are about close together except for a few scores that are quite a bit higher, how would the mean and median of the data set compare and what shape would a histogram of the data set have? The mean would be smaller than the median and the histogram would be skewed with a long tail towards higher scores. The mean would be larger than the median and the histogram would be skewed with a long tail towards lower scores. The mean would be smaller than the median and the histogram would be skewed with a long tail towards lower scores. The mean would be larger than the median and the histogram would be skewed with a long tail towards higher scores. The mean would be equal to the median and the histogram would be symmetrical. None of the answers listed.
Your state is going to vote on becoming a "right to work" state in the next, and you wonder if there is there a relationship between salary levels and unionization. You find data on salary from the U.S. Census, which is split into three groups: Low; Moderate/About Average, and; High. To see if salary, measured in this way, is associated with unionization you find a variable in the same dataset called "UNION", which has two categories: the respondent has a unionized job and the respondent does not have a unionized job. Because you want to know if you should favor or oppose becoming a "right to work" state, you test these two variables to see if there is an association between salary level and unionized labor. What type of hypothesis test is most appropriate?
Indicate the dependent and independent variables, the number of levels for each independent variable, and whether each variable is within-subjects or between subjects 1. Individuals with anorexia and individuals with bulimia take a cognitive distortions test upon entering a treatment program for eating disorders and again three weeks later.
Please anwser using SPSS!
In a data set with 25 scores, if the value 16 occurs 12 times, what is its relative frequency?
Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin; - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team==== "Brooklyn Nets" Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1 80 Coef. Std. Err. MS 81 206.320988 8.439024 3.049595 -5.219512 2.156389 1459.95122 190.65061 t Number of obs F (1, 80) Prob > F R-squared. Adj R-squared = Root MSE P>|t| 2.77 0.007 -2.42 0.018 82 7.66 0.0070 0.0874 0.0760 13.808 [95% Conf. Interval]…

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