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1. We have 2 variables: Gender and satisfaction
hence, The most appropriate way to display data would be a techique
which can
showcase relationship between these 2 variables.
Histogram, Pie chart are for showing categorical distribution.
Scatter plot though good for bi-variate analysis can't would not be most appropriate to analyze between categories.
Side by side box-plots are not for bi-variate again. they are to see the uni-variate distribution. We don't want this.
A 2-way table is what we want.
Hence, E is correct.
Please answer all 5 stuck on each Question 1 A store asked 250 of its customers...
Double check answers as I was given the wrong ones when I asked originally Question 10 Select one answer A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each study 10 points participant was categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the...
Please double check answers I asked already recieved the wrong info. Question 6 A researcher wants to determine if preschool attendance is associated with Select one answer high school graduation for low-income students. She randomly assigns low- points income children to two groups; one group will attend preschool program, the second group will not attend preschool. The researcher plans to follow the children in the study for 20 years and observe whether or not they graduate from high school. Which...
Question 10 A 2009 study analyzed data from the National Longitudinal Study of Adolescent Health. Participants were followed into adulthood. Each studyr0 points participant was categorized as to whether they were obese (BMI 30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results. Select one answer Dating Cohabiting Married Total 47 331 277 962 424 1,293 Obese 81 103 Not...
Question 8 A study analyzed data from the National Longitudinal Study of Adolescent Type numbers in the boxes. Health. Participants were followed into adulthood. Each study participant was o points categorized as to whether they were obese (BMI >30) or not and whether they were dating, cohabiting, or married. The researchers were trying to determine the effect of relationship status on obesity. The table below summarizes the results: Dating Cohabiting Married Total Obese 82 146 102 330 Not obese 358...
A study analyzed data from the National Longitudinal Study of Adolescent Tpe numbers in the boxes Health. Participants were followed into adulth categorized as to whether they were obese (BMI>30) or not and whether they i Part 2:3points were dating, cohabiting, or married. The researchers were trying to determine y Part 3 s petnts the effect of obesity on relationship status. The table below summarizes the results: ood. Each study participant was up Part 1: 3 points Part 4:points o...
show work Show Work Question Help Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) x 10 8 13 19 T 11 T 14 16 14 | y 7.46 6.77 12.74 7.12 7.81 8 .84 6.09 5.39 12 8.15 7 6.42 5 5.73 = Click here to view a table of critical values for the correlation coefficient a. Construct a scatterplot. Choose the correct graph below. OA OB. 638 12 16 06 12...
please answer all question 9-11 Question 9 2 pts z scores are useful because they: o reduce the probability of Type I and Type Il errors, allow permit the transformation of raw scores into percentiles. o transform linear scores into nonlinear scores, convert nonlinear scores back into linear scores, and allow us to obtain comparisons between nonlinear and linear scores. Pelation to the mean of its underlying population allow comparisons to be made between stores from different distributions, and permit...
please answer both Question 1 (5 points) Question 1(A) You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price. House Price is in Thousand $ and Number of Bedrooms is in number of bedrooms Coefficient t-statistic p-value Intercept 28.77 6.52 <0.000 Number of Bedrooms 13.27 9.18 <0.000 *** How do you interpret the coefficient 13.27 of Number of Bedrooms? Select one from below: Increase in 13.27 bedroom square foot will lead...
Answer in order please thank you. Question1 A survey was conducted from a random sample of 8225 Americans, and one Selecd variable that was recorded for each participant was their answer to the question, "How old are you?" 1o points The mean of this data was found to be 42, while the median was 37. What does this tell you about the shape of this distribution? A. O It is symmetric. B. O It is skewed left. C. There is...
please answer all Question 1 2 pts Determine whether the molecule below is optically active. cannot determine O optically active O optically inactive Question 2 2 pts Determine the relationship between the two molecules below NH2 HO H3COOH identical enantiomers constitutional isomers diastereomers Question 3 2 pts Determine the relationship between the two molecules below H HOW enantiomers O identical constitutional isomers diastereomers D Question 4 2 pts Determine the total number of stereoisomers represented by the bond line drawing...