1. Compare and contrast the quantitative and qualitative research. What are the similarities anddifferences?2. What are the agents of socialization discussed in your text? Which has had the greatestinfluence in your life? Explain.3. Weigh in on the nature vs. nurture debate. What is the argument on both sides? Which doyou think has had the greatest influence on who you are? Explain.4. According to Durkheim, societies like the United States areheld together by organic solidarity or contractual solidarity. Does this concept have relevanceto today's globalized world? What binds, or divides, individual societies and groups ofsocieties? How do societies identify who "is one of us," and "is against us"? How dosocieties pull people together and give them a sense of belonging and security?

“Since you have asked multiple questions, we will solve the first question for you. If you want any…

Answered: 1. Compare and contrast the…

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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Background: Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine public attitudes towards social spending. In particular, the study tried to determine if knowing someone on public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The data from the study is summarized in the table below. Yes No Total Too little 40 4 То 44 About right 17 13 30 Too much 10 7 17 Total 67 24 91 Source: Morris Saldov, Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social Policy, 26, November 1990, pages 10-14. %3D Directions: Conduct a chi-square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant. 1. Choose the correct null and alternative hypotheses. O Ho: There is no association between knowing someone on public assistance and views on social spending. Ha There is an association between knowing…
An article studied differences between expert and consumer ratings by considering medal ratings for wines, which could be gold (G), silver (S), or bronze (B). Three categories were then established. 1. Rating is the same [(G, G), (B, B), (S, S)] 2. Rating differs by one medal [(G, S), (S, G), (S, B), (B, S)] 3. Rating differs by two medals [(G, B), (B, G)] The observed frequencies for these three categories were 66, 104, and 42, respectively. On the hypothesis of equally likely expert ratings and consumer ratings being assigned completely by chance, each of the nine medal pairs has probability 1/9. Carry out an appropriate chi-squared test using a significance level of 0.10. State the appropriate hypotheses. O Ho: P1 = P2 = P3 = H3: at least one p; + 3 O Ho: P1 = P2 = P3 H: at least one p; + Pio O Ho: P1 = P2 = P3 = 9 H: at least one p, +- 9 O Ho: P1 = 1 4 P2 = H: at least one p, + Pio Calculate the test statistic. (Round your answer to two decimal places.) x2 What can be said about…
Use the following information in TABLE 1 on five college professors to answer the following 5 questions. Name Specialty Sex Age Rank Able Economics M 40 Associate Professor Roth Management F 41 Full Professor Martin Marketing M 52 Associate Professor Brock Finance F 30 Assistant Professor Young Accounting F 35 Assistant Professor 1. Based on Table 1, which is quantitative variable? (This is a multiple choice question. Select the one correct answer.) Group of answer choices Specialty Age Sex Rank 2. Based on Table 1, what scale of measurement is used for Rank? Group of answer choices Nominal Ratio Ordinal Interval
For a within-subjects study comparing two treatments, A and B, a researcher expects that practice in the first treatment will improve the participants scores in the second treatment. If the order of treatments is counterbalanced, then the practice will… A. Influence scores in treatment A, but not in treatment B B. Influence scores in treatment A for half the participants and scores in treatment B for half the participants C. Not influence the scores in either treatment condition because the treatments are counterbalanced D. Influence scores in treatment B, but not in treatment A
I 21-34. What's the design? Read each brief report of statistical research, and identify a) whether it was an observational study or an experiment. If it was an observational study, identify (if possible) b) whether it was retrospective or prospective. c) the subjects studied and how they were selected. d) the parameter of interest. e) the nature and scope of the conclusion the study can reach. If it was an experiment, identify (if possible) b) the subjects studied. c) the factor(s) in the experiment and the number of levels for each. d) the number of treatments. e) the response variable measured. f) the design (completely randomized, blocked, or matched). g) whether it was blind (or double-blind). h) the nature and scope of the conclusion the experiment can reach. R3.5. Data were collected over a decade from 1021 men and women with a recent history of precancerous colon polyps. Participants were randomly assigned to receive folic acid (a B vitamin) or a placebo, and the study…
1. Indexes and scales Researchers often generate composite measures to accurately analyze the varied meanings of the more complex concepts in social research. Professor Frank is conducting a study of religiosity in college students and has created a survey with several questionnaire items to measure this concept. Which of the following is most likely the reasoning behind her decision to use multiple survey items? No single indicator is likely to suffice in measuring the concept of religiosity. O A single indicator survey would be too short for the time required of the study. She wants to test the vallidity of some new questionnaire items she has recently generated. She wants to counter any bias that may be introduced by her own religious viewpoint. Two types of composite measures are the index and the scale. Both measures are intended to measure complex varlables, but each is constructed in a different fashion. However, the great amount of overlap between these two measures often…
Can you please help me on 19 and 20?
A nutrition study investigated knowledge about fruit juices. The study was conducted in a pediatric clinic. Accompanying parents were asked to classify a national brand of “fruit drink”, that contains less than 10% fruit juice, as 100% fruit juice, fruit juice mix, or no fruit juice at all. The investigators asked 150 parents. The table contains the results. Juice Content Gender Female Gender Male Total 100% 15 15 30 1%-99% 55 25 80 0% 30 10 40 100 50 150 The chi‑square statistic for the null hypothesis of independence has: - 6 degrees of freedom. - 3 degrees of freedom. - 2 degrees of freedom. - 4 degrees of freedom.
Which statement is true with regard to non-response bias? 1.Respondents have strong opinions about the subject matter. 2.Respondents change their answers to influence the results. 3.Respondents give the answer they think the questioner wants. 4.Respondents do not give their honest opinion.
Corporations and Elections. Based on research by the Associated Press and the National Constitution Center, 85% of Democrats, 81% of Republicans, and 78% of Independents support limiting corporate influence in political elections. Estimates from Gallup show that 32% of U.S. adults are Democrats, 28% are Republicans, and 40% are Independents. What percentage of U.S. adults who support limiting corporate influence in political elections are Republicans?
Based solely on the information given, do you have reason to question the results of the following hypothetical study? Explain your reasoning. A study by a conservative foundation is designed to assess a new Democratic spending plan. Is there reason to question the results? Select all that apply. O A. Yes, there is reason. It makes sense that a Democratic spending plan would be studied by a conservative foundation. B. No, there is not reason. The goal of the study is clear. O C. Yes, there is reason. There is a possibility of bias in the study. D. No, there is not reason. It is unlikely that there are any confounding variables in the study. O E. Yes, there is reason. The variables that were measured are not identified. O F. No, there is not reason. There is no bias in the study. O O O O O 0
A nutrition study investigated knowledge about fruit juices. The study was conducted in a pediatric clinic. Accompanying parents were asked to classify a national brand of “fruit drink”, that contains less than 10% fruit juice, as 100% fruit juice, fruit juice mix, or no fruit juice at all. The investigators asked 150 parents. The table contains the results. Juice Content Gender Female Gender Male Total 100% 15 15 30 1%-99% 55 25 80 0% 30 10 40 100 50 150 What is the value of the chi‑square statistic for the test of independence for this table? - 7.239 -3.84 -5.156 -1.645

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