If a researcher randomly assigns participants to one of two conditions, that researcher is likely to use a(n): a. correlational design b. quasi-experimental design c. experimental design d. descriptive design
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If a researcher randomly assigns participants to one of two conditions, that researcher is likely to use a(n):
a.
b. quasi-experimental design
c. experimental design
d. descriptive design
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- Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Dr. Guidry submits her study for publication in a scientific journal. If one of the peer reviewers is concerned about the external validity of her study, which of the following is the most important aspect of Dr. Guidry's study to consider? the number of significant findings the random sampling technique used to recruit the participants the number of people in the sample the use of three measured variablesPart 1 of 4 A pharmaceutical company claims their new diabetes medication results in less variance in a patient's glucose level than if the patient were on no medication at all. An endocrinologist wishes to test this claim. She divides participants randomly into two groups. Group A consists of 20 diabetics who received the medication; group B consists of 26 diabetics who received a placebo. After two weeks, the blood sugar level of each patient in each group was measured with the following results (in mg/dL): Group A: 77.8, 229.4, 199.9, 110.1, 180.2, 116.1, 139.7, 171.1, 37.4, 158.1, 88.4, 195.5, 246.1, 142.4, 178.1, 105.5, 179.6, 146.1, 78.8, 123.7 Group B: 124.5, 130.1, 136, 162.8, 113.4, 72.8, 142.6, 50.3, 179.8, 197, 230, 194.3, 171, 109.3, 114.4, 107.5, 114.7, 195.3, 127.7, 126.4, 85.6, 166.7, 182.3, 113.5, 216.7, 162.8 Perform a hypothesis test using a 6% level of significance to test the pharmaceutical company's claim. Step 1: State the null and alternative hypotheses. Ho: Ha:…A particular paper described a study of children who were underweight or normal weight at age 2. Children in the sample were classified according to the number of sweet drinks consumed per day and whether or not the child was overweight one year after the study began. Is there evidence of an association between whether or not children are overweight after one year and the number of sweet drinks consumed? Assume that it is reasonable to regard the sample of children in this study as representative of 2 to 3 years old children and then test the appropriate hypotheses using a .05 significance level. (Round your answer to two decimal places.) Number of Sweet Overweight? Drinks Consumed per Day Yes No 22 930 1 73 2071 2 56 1681 3 or More 102 3389 x2 = | P-value interval Op< 0.001 O 0.001 s p < 0.01 O 0.01 sp < 0.05 O 0.05 sp < 0.10 Op2 0.10 There is --Select--- v to conclude that there is an association between whether or not children are overweight after one year and the number of sweet…
- 7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…“The incidence of depression among college students is negatively correlated with the number of sunny days each year in the locale where they attend college.” This statement means that: a. a student attending college in a locale with very few sunny days will become depressed. b. if a depressed student were to move to a locale with more sunny days, the student's depression would subside. c. the chances of a college student being depressed tend to increase as the number of sunny days increases. d. the chances of a college student being depressed tend to increase as there are fewer sunny days.Online clothes An online clothing retailer keeps trackof its customers’ purchases. For those customers who signed up for the company’s credit card, the com-pany also has information on the customer’s Age and Income. A random sample of 500 of these customers shows the following scatterplot of Total Yearly Pur-chases by Age:The correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are: a) What is the linear regression equation for predictingTotal Yearly Purchase from Age?b) Do the assumptions and conditions for regressionappear to be met?c) What is the predicted average Total Yearly Purchasefor an 18-year-old? For a 50-year-old? d) What percent of the variability in Total Yearly Pur-chases is accounted for by this model? e) Do you think the regression might be a useful one forthe company? Explain.
- In a study on television violence and aggression, researchers measured the TV viewing habits of 3rd grade males (preference for violent TV shows) and their levels of aggression; and then revisited the men 10 years later and measured the same variables. They found these zero-order correlations: Aggression G3 TV G3 Aggression Y18 Aggression G3 1.0 .65 .45 TV G3 1.0 .5 Aggression Y18 1.0 a) Suggest an operational definition to measure TV show preference for violent TV shows at Grade 3 and at Year 18. b) What is going on if the partial correlation of TV G3 and AGG Y18 with AGG G3 held constant is .09? How do you know this? c) What is going on if the partial correlation of AGG G3 and AGG Y18 with TV G3 held constant is .06? How do you know this?For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).Computer-mediated communication (CMC) is a form of interaction that heavily involves technology (e.g., instant messaging, email). A study was conducted to compare relational intimacy in people interacting via CMC to people meeting face-to-face (FTF). Participants were 48 undergraduate students, of which half were randomly assigned to the CMC group and half assigned to the FTF group. The variable of interest, relational intimacy score, was measured (on a 7-point scale) for each participant after each of three different meeting sessions. Summary statistics for the first meeting session are given here. The researchers hypothesized that, after the first meeting, the mean relational intimacy score for participants in the CMC group would be lower than the mean relational intimacy score for participants in the FTF group. Test the researchers’ hypothesis using α = .10. CMC FTF Number…
- A bank records the number of mortgage applications and its own prevailing interest rate (at the first of the month) for each of 16 consecutive months. Is there a correlation between the interest rate (x) and the number of applicants (y), and if so, is it significant at the 5% or the 1% significance level Answer Choices -0.733, significant at 1% -0.652, no significant correlation -0.587, significant at 5% -0.587, significant at 1% -0.652, significant at 5%Dr. Morgendorffer wants to develop a questionnaire that measures employees' burnout. But during her literature review, she learns that burnout is a variable with three separate dimensions: exhaustion, cynicism, and detachment. Which of the following checks will help ensure that Dr. Morgendorffer's burnout questionnaire is valid? O a. Ensuring that the items across all three dimensions are correlated with each other O b. Ensuring that there is a high level of stability for each of the three dimensions OC. Ensuring that the dimensions represent parallel forms of the questionnaire O d. Ensuring that all three dimensions have been adequately represented in the questionnaireA sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 10 employees was chosen, and the following data were collected. Number of Days Absent Distance to Work (miles) 4 4 7 6. 8 8 7 10 4 12 4 14 1 14 3 18 1 (a) Develop a scatter chart for these data with distance to work (in miles) as the independent variable and number of days absent as the dependent variable. Does a linear relationship appear reasonable? Explain. O Yes, there appears to be a positive linear relationship between distance to work (miles) and number of days absent. O Yes, there appears to be a negative linear relationship between distance to work (miles) and number of days absent. O No, there appears to be no noticeable linear relationship between distance to work (miles) and number of days absent. (b) Use the data to develop an estimated…
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