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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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
D. Give your own examples: 24.Dependent Variable: Independent Variable: 25. Dependent Variable: Independent Variable:
Please help me better understand word problem. A researcher was investigating variables that might be associated with the academic performance of high school students. The data included the average Math SAS score of all high school seniors in the city that took the exam (labeled as the variable SAT-M), the average number of dollars per pupil spent on education by the city (labeled as the variable $Per Pupil), and the percentage of high school seniors in the city that took the exam (labeled as the variable %Taking). As part of the researcher's investigation, he ran the following multiple linear regression model as SAT-M=Beta0 + Beta1($Per Pupil) + Beta2(%Taking). This model was fit to the data using the method of least-squares, results shown inside of table within photo. Question: What's the 95% confidence interval for Beta1, (coefficient of variable $PerPupil). Then determine the interpretation for Beta2 (coefficient of %Taking variable).
A survey was conducted on how many texts (in average) students receive during an in-person class time. A survey data in a class in a particular day is given in the table. Number students Number of texts 1 20 2 14 12 4 5 If the average number texts that students received during this class time is 3, then determine the number of students (the value of x) that received 5 texts during the class time on that particular day.
The residents of a housing development for senior citizens have completed a survey whereon they indicated how physically active they are and how many visitors they receive each week. Are these two varibles related for the 10 cases reported below?
Explain the difference between Independent and Dependent Variables.
The y for the association between education and health is -0.386. Does y for the relationship between frequency of prayer and health (-.055) represent a stronger or weaker ordinal association then the y of -0.386 for the relationship between education and health? Options: A. stronger relationship than y of -0.386 B. Weaker relationship than y of 0.386 C. cant tell from the information provided
During 10 weeks, a dealership recorded the number of TV ads (x variable) and the number of cars sold (y variable). The results are given in the following table. X 6 20 0 14 25 16 28 18 10 8 Y 15 31 10 16 28 20 40 25 12 15 Please asnwer questions on picture thank you
A group of researchers measured how funny people rated a cartoon when they were in one of two groups: holding a pen in their teeth (forcing them to smile) or holding a pen in their lips (forcing them to frown). For this study, identify the independent variable and the dependent variable. Justify your response.
The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1�1) is the square footage, the second independent variable (x2�2) is the number of bedrooms, and the third independent variable (x3�3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 11191119 33 33 100900100900 13081308 33 44 119800119800 14521452 33 66 189800189800 16931693 33 66 190500190500 20052005 33 66 196900196900 22102210 33 99 216600216600 23012301 44 99 250900250900 23452345 44 1010 267800267800 28532853 55 1313 270000270000 Copy Data Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places
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.
a.Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which isdependent?b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is thecorrelation positive or negative? (Write at least two sentences.)c. Does a person’s High School GPA cause them to earn a certain salary in adulthood? Explain.

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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