Explain how a within-subjects design avoids the problems created by individual differences and how a between-subjects design avoids the problems created by order effects.
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- An intervention program with mothers of low birth weight infants (LBW). It is often difficult to recognize signals from LBW infants, and the program offered training in this domain. One group of mothers received instructions on responding to subtle signals of LBW infants while another group did not receive such instruction. A third group of mothers of normal birth weight infants served as a control group. The mothers were also divided by education level-high school education or less and more than high school education. How many independent variables are there? What type of analysis should be performed? Answer Choices: 3 x 2 ANOVA or 2 x 2 ANOVA or 1 x 2 ANOVA or independent 2-sample t-test The type of statistic you should perform is also called a ? Answer Choices: 1-way ANOVA 2-way ANOVA 3-way ANOVA independent 2-sample t-test How many conditions are present in this study? How many interactions should be tested?Mrs. Jen and Miss Berry, two 4th grade teachers, didn’t want to be outdone by Raskin and Bobbins, so they challenged them to fill in the remaining data below about their 4th grade classes and their students’ ice cream preferences. See if you can fill in all of the missing pieces in the diagrams below. For these students as well, they had to choose one topping, but could not choose both.The Conch Café, located in Gulf Shores, Alabama, features casual lunches with a great view of the Gulf of Mexico. To accommodate the increase in business during the summer vacation season, Fuzzy Conch, the owner, hires a large number of servers as seasonal help. When he interviews a prospective server, he would like to provide data on the amount a server can earn in tips. He believes that the amount of the bill and the number of diners are both related to the amount of the tip. He gathered the following sample information. Customer Amount of Tip Amount of Bill Number of Diners Customer Amount of Tip Amount of Bill Number of Diners 1 $ 6.05 $ 73.22 1 16 $ 3.30 $ 23.59 2 2 4.50 28.23 4 17 3.50 22.30 2 3 1.00 10.65 1 18 3.25 32.00 2 4 2.40 19.82 3 19 5.40 50.02 4 5 5.00 28.62 3 20 2.25 17.60 3 6 4.25 24.83 2 21 1.40 41.80 5 7 .50 6.25 1 22 3.00 20.27 2…
- The Conch Café, located in Gulf Shores, Alabama, features casual lunches with a great view of the Gulf of Mexico. To accommodate the increase in business during the summer vacation season, Fuzzy Conch, the owner, hires a large number of servers as seasonal help. When he interviews a prospective server, he would like to provide data on the amount a server can earn in tips. He believes that the amount of the bill and the number of diners are both related to the amount of the tip. He gathered the following sample information. Customer Amount of Tip Amount of Bill Number of Diners Customer Amount of Tip Amount of Bill Number of Diners 1 $ 7.00 $ 48.97 5 16 $ 3.30 $ 23.59 2 2 4.50 28.23 4 17 3.50 22.30 2 3 1.00 10.65 1 18 3.25 32.00 2 4 2.40 19.82 3 19 5.40 50.02 4 5 5.00 28.62 3 20 2.25 17.60 3 6 4.25 24.83 2 21 5.50 44.47 4 7 0.50 6.24 1 22 3.00 20.27 2…An average of 40 customers travel between Departments A and B each day. Unfortunately, Department C is located between Departments A and B, and no customers travel between Department C and Departments A and B. What is the load-distance score of this three department layout?A college president wanted to know how 10-year-after-graduation salaries for academic majors (English, psychology, math, etc.) compared to salaries for career-oriented majors (business, engineering, computer science, etc.). She matched 84 academic majors at her college with 84 career-oriented majors on the basis of SAT scores and GPA. She found MAcademic = $59,250, MCareer =$61,000, sD = 9,500. Check the assumptions 1. Random samples (robust) 2. Independence of observations (not robust) 3. Normality (robust)
- A college president wanted to know how 10-year-after-graduation salaries for academic majors (English, psychology, math, etc.) compared to salaries for careeroriented majors (business, engineering, computer science, etc.). She matched 84 academic majors at her college with 84 career-oriented majors on the basis of SAT scores and GPA. She found MAcademic = $59,250, MCareer =$61,000, sD = 9,500. Use an alpha of .05 and a two-tailed test to determine if there is a difference in salaries.An industrial/organizational psychologist wants to improve worker productivity for a client firm, but fırst he needs to gain a better understanding of the life of the typical white-collar professional. Fortunately, he has access to the 2008 Workplace Productivity Survey, commissioned by LexisNexis and prepared by WorldOne Research, which surveyed a sample of 650 white-collar professionals (250 legal professionals and 400 other professionals). One of the survey questions was, "During the average workday, how many hours do you spend attending meetings?" For the subsample of legal professionals (n = 250), the mean response was M = 2.0 hours, with a sample standard deviation of s = 5.1 hours. The estimated standard error is SM = 0.323. The psychologist can be 99% confident that the interval from 1.2 to includes the unknown population mean pu.For XYZ bank, one of the items to monitors is the credit balance of credit cards. One possible analysis would be to determine if the average credit card balance depend upon the type of credit card used with controling for customers. Under consideration there are 5 types of credit cards. numbers of customers are 41 in each type (number of rows). the degree of freedom for customers (row) is
- How to find independent and defendant variablesAs the leader of the sales team, you would like to increase the revenue brought by your team. You discovered a program for sales personnel that supposedly improve interpersonal skills and thus help settle deals with customers more often. You decide to send8 of your sales people for the training, and compare the amount they brought in sales in the month before they went and in the month after they received the training. The data are: Xbefore: 400, 300, 1200, 2100, 700, 450, 650, 3400 Xafter: 1000, 400, 1000, 2500, 1200, 600, 800, 3000 A. Identify the appropriate statistical measure to use. B. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05, can you report to upper management that the training worked? Or was it a waste of money? C. Calculate 95% confidence intervals for the estimate of the difference.A survey about social media reported that 79% of B2B marketers (marketers that focus primarily on attracting businesses) plan to increase their use of social media, as compared to 54% of B2C marketers (marketers that primarily target consumers). The survey was based on 1,333 B2B marketers and 1,669 B2C marketers. The accompanying table summarizes the results. Complete parts (a) through (d) below. A Click the icon to view the contingency table about social media use and marketers. Contingency table a. What is the probability that a randomly selected respondent plans to increase use of social media? (Round to three decimal places as needed.) Increase Use of Social Media? Business Focus B2B B2C Total b. What is the probability that a randomly selected respondent is a B2C marketer? Yes 1,049 901 1,950 (Round to three decimal places as needed.) No 284 768 1,052 Total 1,333 1,669 3,002 c. What is the probability that a randomly selected respondent plans to increase use of social media or is…