23SUDE 2 OF 3OatTo that end let X and Y to be two variables andsuppose we have collected data on both of themfrom an underlying population:X1.X2......XnV₁, V2, ..... YnTwo-way table can be constructed in threedifferent cases.678EX: We have collected data on Salary, Education,Gender, and Working Hours from all 10 employeesof a Tech company in Kabul.ObsGender Education Salary11022033045910MMFFFMMMMMHSBAMAMAPHDMABABivariate Analysis: Two way TableTwo way Table:1: Gender and Education:HSBA044BAHSBAPowerPoint Slide Show - (BivarPart1.pptx)-PowerPoint3550382523152613Working Hrs68991098767ACFOM2DMA213PHD101ATotal3710OE O& VENG 12:18 PMFr(Gender=F, Education=PHD)=1MULTIPLE CHOICE QUESTION3RewatchSubmitActivate WindowsGo to Settings to activate Windows.

P O To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: 2 Two-way table can be constructed in three different cases. 3 4 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees of a Tech company in Kabul. Obs Gender Education Salary 10 1 10 20 30 35 50 M 38 5 6 7 8 9 10 M M F F F M M M M X1, X2, X Y₁.Y2...... Y M HS BA Bivariate Analysis: Two way Table Two way Table: 1: Gender and Education: HS BA 0 4 4 MA MA PHD MA PowerPoint Slide Show-varapp-PowerPoint BA BA HS BA DE 25 23 15 26 Working Hrs 6 8 9 9 10 9 8 7 6 F0 M2 D | ΜΑ 2 1 3 PHD 1 0 1 Total 3 7 10 OVA. ENG 12:18 PM Fr(Gender-F, Education=PHD)= 1 MULTIPLE CHOICE QUESTION 3 Rewatch Submit

P O To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: 2 Two-way table can be constructed in three different cases. 3 4 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees of a Tech company in Kabul. Obs Gender Education Salary 10 1 10 20 30 35 50 M 38 5 6 7 8 9 10 M M F F F M M M M X1, X2, X Y₁.Y2...... Y M HS BA Bivariate Analysis: Two way Table Two way Table: 1: Gender and Education: HS BA 0 4 4 MA MA PHD MA PowerPoint Slide Show-varapp-PowerPoint BA BA HS BA DE 25 23 15 26 Working Hrs 6 8 9 9 10 9 8 7 6 F0 M2 D | ΜΑ 2 1 3 PHD 1 0 1 Total 3 7 10 OVA. ENG 12:18 PM Fr(Gender-F, Education=PHD)= 1 MULTIPLE CHOICE QUESTION 3 Rewatch Submit

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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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.
26. Earlier in this chapter we described a study by Bartholow and Anderson (2002) examining how the experience of violence in video games influenced ag- gressive behavior for males and females. Their results suggest that increased violence increase aggressive behavior for males but has little or no effect for fe- males. The following data are measures of aggressive behavior similar to the results obtained in the study. Nonviolent Game Violent Game Female Male 3 6 2 2 4 7 9 9 4 8 10 8 9 4 5 8 4 6 12 16 13 17 13 13 a. Use an ANOVA with a = .05 to evaluate the data. Describe the effect of the violent game compared with a nonviolent game on the aggressive behavior for males and for females. b. Calculate the effect size (n²) for each main effect and for the interaction.
Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…
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?
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This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…