E) Are the two variables independent or associated for the first table? For the second table? ew that theirhad cheated. The results are given in the tables below.FemaleCheatedFemale HadNot CheatedTotalMale Right29162191Male Wrang12Total38165203MaleMaie HadNot CheatedTotalCheatedFemale Right24138162Female Wrang359.41Total59144203Source: Jane M Watson "Cheating Partners, Condeonal Protabilty andContingency Tetbles" Teaching Sttistics 33 Autun 201 pp 66-70,you select a couuple at random, what is the probability that the male cheated?he female cheated?Are males or females more likely to be wrong about whether their partnerheated?Do males or fermales do a better job of detecting cheating? Justity your answerusing conditional probability notation.Are the events male cheated and fonale right andependent? Show the

Answered: Image /qna-images/answer/88c2ef7a-f2e9-4743-a848-c7d403df2709.jpg

Answered: Female Female Had Not Cheated Cheated…

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 tables represents the rule, y equals seven less than four times a number? O O O xy 2 1 -3-5 XAS xy 1-3 513 xy -2-1 49 -2 Y 7 15
The data set Pain contains hypothetical data for a clinical trial of a drug therapy to control pain. The clinical trial investigates whether adverse responses increase with larger drug doses. Subjects receive either a placebo or one of four drug doses (1, 2, 3, or 4 units). An adverse response is recorded as Adverse = 'Yes'; otherwise, it is recorded as Adverse = 'No'. The number of subjects for each drug dose and response combination is contained in the variable Count. (a) Construct a contingency table that corresponds to the data set created above. What type of variable is Dose? (B) Compute the sample proportions of adverse responses at each dose level. Do you observe any trend in the proportion of adverse responses with respect to dose level? (C) Conduct a Cochran-Armitage trend test at the 5% significance level to address the interests of the trial.
3 Which scenario would most likely show a negative association between the variables? A the height of a tree, x, and the amount of time it takes to climb to the top of the tree, y B the number of people in the mall, x, and the number of cars in the parking lot, y miles traveled in a car, z, and the amount of gasoline used, y D time spent reading a book, r, and the number of pages left to read, y
How to find independent and defendant variables
A retailer wants to see if a red "Sale" sign brings in more revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 2.7, 2.6, 1.1, 4.2, 2.6, 3.4, 2.3, 2.9, 4, 2.6 Blue: 2.2, 1, 2.8, 1.6, 0.6, 0.9, 1, 1.7, 3.4 Assume that both populations follow a normal distribution. What can be concluded at the a = 0.01 level of significance level of significance? b. The test statistic t î = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.)
Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.
a. Which measure of association would be most appropriate for these variables? b. What is the value of the measure of association? c. What is the strength of the association? d. Would be appropriate to interpret a direction for the association? If so, which direction is the association between the two variables?
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Indicate if any of the independent variables could be eliminated at the
The data indicate the number of wins and the number of goals scored for teams in the National Hockey League after the first month of the season. No. of wins, x B 5 6 9 10 0.885 Part: 0/3 9 Part 1 of 3 5 3 No. of goals, y 10 16 20 23 28 21 11 12 No. of wins, x 11 7 13 5 7 No. of goals, y 20 11 10 20 29 12 17 (a) Find the equation of regression line and draw the line on the scatter plot, but only if r is significant. Round the slope and y-intercept to four decimal places, if necessary. r (Choose one) significant at the 5% level. X
A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Is there significance for either gender or income?
The following data is the number of tickets sold and the jackpot value for the Mega Millions lottery. The jackpot value is in millions of dollars and the number of tickets sold is in millions. Jackpot value 334 127 300 227 202 180 164 145 255 Number of tickets sold 54 16 41 27 23 18 18 16 26 r= 0.947 tickets sold -10.87 +0.17 (jackpot value) Which is the independent variable and which is the dependent variable? X= independent variable = Y= dependent variable Interpret ². Interpret the slope. Predict the number of tickets sold when the jackpot value is 500 million dollars. Would you feel comfortable using the model for this value? Why or why not.
The values listed below are waiting times (in minutes) of customers at 2cdifferent banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers mayventer any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.2 7.5 7.8 7.8 Bank B 4.1 5.5 5.8 6.1 6.7 7.7 7.7 8.4 9.3 10.0 Construct a 95% confidence interval for the population standard deviation at Bank A

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Female Female Had Not Cheated Cheated Total Male Right 29 162 191 Male Wrang 12 Total 38 165 203 Male Male Had Not Cheated Total Cheated Female Right 24 138 162 Female Wrong 35 41 Total 59 144 203