Suppose a clinical psychologist sets out to see whether sexual orientation is related to relationship longevity. He decides to measure relationshipsatisfaction in a group of homosexual couples and a group of heterosexual couples. He chooses the Marital Satisfaction Inventory because it refers to"partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples.Higher scores on the Marital Satisfaction Inventory indicate greater relationship satisfaction.The psychologist administers the Marital Satisfaction Inventory to 53 couples-23 are homosexual couples and 30 are heterosexual couples. He wantsto calculate the correlation between a couple's relationship satisfaction and sexual orientation. Which of the following types of correlations would bemost appropriate for the psychologist to use?O A phi-correlationA Spearman correlationOA point-biserial correlationA Pearson correlation To calculate the correlation, the psychologist converts "sexual orientation" to a dichotomous variable. Suppose the data for the first 5 couples hesurveys are shown in the table that follows. By assigning one (1) to homosexual couples and zero (0) to heterosexual couples, complete the table.Sexual Orientation Marital Satisfaction Inventory Score Sexual Orientation (Converted)homosexualhomosexualheterosexualheterosexualhomosexual2041184632Suppose the psychologist calculates the correlation using the data as coded in the previous table. Then, he recalculates the correlation, but this time,instead of assigning one (1) to homosexual couples and zero (0) to heterosexual couples, he reverses the codes and assigns zero (0) to homosexualcouples and one (1) to heterosexual couples. Which of the following statements is true regarding his two calculations of the correlation?The absolute values of the two correlations are different.The two correlations are the same.O The signs of the two correlations are opposite, but their absolute values are the same.

In the given scenario, one of our variable of interest is of continuous type and the other variable…

Answered: Suppose a clinical psychologist sets…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Scenario: A guidance counselor wanted to know if anxiety differs based on time (first day of class in relation to the last day of class), and if this differs based on year in school (as a freshman, sophomore, junior, or senior). She collected data on a single group of students across their entire high school career at these eight time points — first and last day of freshman, sophomore, junior, and senior year. Anxiety was measured using a standardized scale ranging from 0 — 50, with higher scores indicating greater anxiety. Question: If p = .014 for the interaction of Time x Academic Year, what should the researcher conclude? Group of answer choices The interaction is not significant; no additional analyses are needed to interpret it. The interaction is significant; no additional analyses are needed to interpret it. The interaction is not significant; run correlated groups t-tests for post hoc analyses. The interaction is significant; for post hoc analyses, split the file…
A clinical psychologist is interested in the effect of a new treatment for treating depression. She randomly divides her clients into two groups. One group receives the new treatment and the other group receives the old treatment (control group). At the end of treatment, she assesses the severity of their depression on a scale ranging from 0 to 20 (higher scores indicate greater depression). Was there a significant difference in depression scores between the two treatments? New Treatment Old Treatment 2 7 5 10 3 6 8 8 11 4 4 8 6 10 4 4
In a recent study on American sleep habits, 1300 adults were asked questions about their sleep cycles. The study found that 39 % say they get sleepy on the job and their work suffers at least a few days each month. An additional 21 % said the problems occur a few days each week and 9 % say sleepiness on the job is a daily occurrence. For the remaining respondents, sleepiness was not a problem at all. Summarize the given information by filling out the frequency and relative frequency distribution table. Sleepy At Work? Frequency Relative Frequency Not at all A few days each month A few days each week Daily
You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…
A teacher is concerned that she may be biased in her interaction with students. She keeps track of the number of interactions she has with her students and also notes the student's gender. She records the results in a contingency table. Interaction YES NO Boy 7 13 Girl 15 Is there a significant relationship between the interactions and the student's gender, using a = .05?
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________ Estimated…
Job Satisfaction. A study reported in the Journal of Small Business Management concluded that selfemployed individuals do not experience higher job satisfaction than individuals who are not selfemployed. In this study, job satisfaction is measured using 18 items, each of which is rated using a Likerttype scale with 1–5 response options ranging from strong agreement to strong disagreement. A higher score on this scale indicates a higher degree of job satisfaction. The sum of the ratings for the 18 items, ranging from 18 to 90, is used as the measure of job satisfaction. Suppose that this approach was used to measure the job satisfaction for lawyers, physical therapists, cabinetmakers, and systems analysts. The results obtained for a sample of 10 individuals from each profession follow. SatisJob Lawyer Physical Therapist Cabinetmaker Systems Analyst 44 55 54 44 42…
fill blanks underlines.
Do people feel hungrier after sampling a healthy snack? Researchers randomly assign volunteers into one of three groups. The people in the first group were asked to taste a snack that was billed as a new health bar containing high levels of protein, vitamins, and fiber. The people in the second group were asked to taste the same snack but there told it was a tasty chocolate bar with a raspberry center. After tasting the snack, participants were asked to rate their hunger on a scale from 1 (not at all hungy) to 7 (very hungry). The people in the third group were asked to rate their hunger but were not given a snack. Healthy Tasty No Snack 8 3 3 7 1 3 7 3 5 4 2 6 5 6 5 a. Perform a complete one-way ANOVA hypothesis test. Test at the .05 level of significance.
A 2009 Pew Research Center survey asked a sample of 1,504 adults living in the United States for their opinions on recent technological advancements, such as online shopping, cell phones, and social networking. Respondents categorized each advancement as a change for the worse, hasn't made much difference, a change for the better, or don't know. A summary of respondents' opinions on the Internet follows: Response Change for the worse Hasn't made much difference Change for the better. Don't know Percent of Respondents 16 11 65 8 Make a bar graph of the relative frequency distribution of the responses.
An investigator wants to assess whether smoking is a risk factor for pancreatic cancer. Electronic medical records at a local hospital will be used to identify fifty patients with pancreatic cancer. One hundred patients who are similar but free of pancreatic cancer will also be selected. Each participant’s medical record will be analyzed for smoking history. Identify the type of study proposed. Briefly explain why you think the study is of this type. Indicate the study type's specific strengths and weaknesses. What is the most likely source of bias in the study .

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS