questions in images

1 point Answer questions 18 through 21 based on the following information: x? As sociology researcher, you are interested in whether Democrats and Republicans have the same attitude toward gun control. You find the following information for a sample of 60 people: Political Party Gun Control Democrat Republican Total Favor 18 11 30 Oppose 12 19 30 Total 30 30 60 What is your null hypothesis? 0000 1 point Democrats are more likely to favor gun control. Republicans are more likely to favor gun control Democrats and Republicans have the same attitude toward gun control Democrats and Republicans have different attitude toward gun control What is the expected number of respondents (fe) who are Republican and favor gun control? 60 15 30 20 0000 1 point What is the value of the sample Chi-square? 6.51 2.45 1.99 0000 3.33 1 point What conclusion would you draw from the hypothesis test for these data using an alpha level of .01 ? Democrats and Republicans have the same attitude toward gun control Democrats and Republicans have different attitude toward gun control Being Democrat makes a person more likely to favor gun control 0000 Democrats are 1.636 times more likely than Republicans to favor gun control 1 point 9 As a researcher, you are interested in the effect of the marital status of adults (never married, currently married, widowed, or divorced) on happiness (very happy, neutral, or unhappy). You know the following marginal percentage distributions about your sample of adults: Marital Status Total Percent Never Married 13 Currently Married 69 Widowed 8 Divorced 10 Elam Total Percent Very Happy 42 Neutral 38 Unhappy 20 If there is no effect of marital status on happiness, what percentage of the never married would be very happy? 33.333% 42% 100% 13% 0000 1 point Q If you estimate a linear regression equation (Y=a + bX) for the data presented in the following scatter plot, what value of regression coefficient b are you most likely to get? 0 0') Y axis title 20 25 15 10 X axis title 3000 1 point Q \"A false association between two variables that is actually due to the effect of some third variable" is the definition of which of the following: A spurious relationship An outlier Curvilinearity An inverse correlation 1 point } If Yi are the \"observed" values of a dependent variable and Yhati are the \"predicted" values of the dependent variable from the regression of Yi on Xi, what is the difference between the observed and predicted values of Y (i.e., Yi - Yhati )? 0000 O the intercept. a, of the regression line 0 the slope, b, of the regression line 0 the standard deviation of the regression error, a hate 0 the errors, ei, of the regression line 1 point >9 Suppose we compute a regression slope of 0.69 from the regression of husband's hours of household work per week (the dependent variable) on number of children in the family (the independent variable). What is the interpretation of this regression slope? O the expected value of the independent variable when Y is zero is 0.69 O for each additional hour of household work per week by husbands, the number of children in the family increases by 0.69 O for each additional child, husbands' hours of household work increase by 0.69 per week 0 the expected value of the dependent variable when X is zero is 0.69 1 point Q When conducting Analysis of Variance (ANOVA), you find a very large F ratio. What does this mean? The within-group variation is much larger than the between-group variation. There is no significant within-group variation. The between-group variation is much larger than the withingroup variation. 0000 There is no significant between-group variation. 1 point )9 Based on a sample of 100 adults in New Jersey, you find that the correlation coefficient between years of education and depression scores (ranging from 0-100) is 0.12. How would you interpret this statistic? 12% of the variation of depression is explained by education There is a weak positive relationship between education and depression. There is a weak negative relationship between education and depression. 3000 As education increases bv one vear. depression score decreases bv 0.12. 1 point A research hypothesis wherein the probability of error (alpha) is divided between the two tails of the sampling distribution is an example of: 0 an exact hypothesis test 0 a non-directional hypothesis test 0 a null hypothesis test 0 a directional hypothesis test 1 point Hypotheses (the research and null hypotheses) are always statements about: Sample means Sampling distributions of sample means population parameters OOOO Deviations in sample means from zero 1 point Given the same probability of error (alpha), which of the following results in the lowest (smallest) critical value (t-critical) for rejecting the null hypothesis? 0 a directional research hypothesis with sample size 100 O a non-directional research hypothesis with sample size 1000 O a non-directional research hypothesis with sample size 100 O a directional research hypothesis with sample size 1000 1 point Q Answer questions 32 through 34 based on the following information: As a sociologist, you are interested in the relationship between the number of siblings (X) and happiness of a child (Y), which is measured on an interval scale from 1 (very unhappy) to 10 (very happy). You perform a linear regression analysis on a random sample of 65 children and find the regress equation to be Y=3+1.2X. You also know that the standard error for the regression coefficient b is 0.35, the standard deviation of Y is 3.2, and the standard deviation of X is 1.1. You would like to test whether there is a significant relationship between the number of siblings and the happiness of a child at alpha = .05. What is the null hypothesis? b=0 b>0 0000 1 point )9 What are the appropriate test for the regression coefficient and the correct decision regarding the null hypothesis? Aone-tailed Nest and reject the null hypothesis. A onetailed t-test and fail to reject the null hypothesis. Atwo-tailed Nest and reject the null hypothesis. 0000 A two-tailed Heat and fail to reject the null hypothesis. 1 point Q Calculate the appropriate measure of strength for the relationship between the number of siblings and the happiness of children and interpret the meaning of this statistic. What do you find from this measure? About 41% of the variation in happiness is explained by the number of siblings. About 17% of the variation in happiness is explained by the number of siblings. The correlation between the number of siblings and happiness is not significant. 0000 The correlation between the number of siblings and happiness is close to perfect. 1 point 9 Which of the following exemplifies a research hypothesis for a two-sample t test? Men and women have different levels of income. Whites and blacks watch the same amount of TV. Senior citizens' driving behaviors do not differ from those of teenagers OOOO Liberals and conservatives have the same voting rates