Hypothetical data for a two-factor study comparing two levels of type of browsing (Facebook or news website) and two level relationship strength (strong or weak). The dependent variable is self-esteem. The stu involves four treatment conditions with n
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- Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the decision for this hypothesis test? Reject the null because the absolute value of the test statistic is greater than the critical value and the p-value is less than alpha. Fail to reject the null because the absolute value of the test statistic is less than the critical value and the p-value is greater than alpha. Reject the null because the absolute value of the test statistic is less than the critical value and the p-value is less than alpha. Fail to reject the null because the absolute value of the test statistic is greater than the…There is a strong correlation between the number of students graduating from SVS and the population of squirrels in York Region. The most likely type of causal relationship is:A.cause and effect B.accidental C.presumed D.reverse cause and effectEducation influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 38 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in n2 = 37 U.S. cities. The sample mean for these cities showed that x2 = 18.1% of the young adults had attended college. From previous studies, it is known that ?1 = 6.4% and ?2 = 4.8%. Does this information indicate that the population mean percentage of young adults who attended college is higher? Use ? = 0.05. (c) Find (or estimate) the P-value. (Round your answer to four decimal places.) A random sample of n1 = 12 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 15. For Englewood (a suburb of Denver), a random sample of n2 = 16 winter days gave a…
- 4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?A scientist is studying the effect of a new type of exercise program on cardiovascular health. The scientist randomly assigns individuals to either the exercise program or a control group. The scientist wants to determine if the exercise program has a statistically significant effect on cardiovascular health. The scientist monitors cardiovascular health by measuring the blood pressure of each individual. The type of program the individual experienced is which of the following? (Select all that apply) The Explanatory Variable Ordinal The Response Variable Categorical Binary Quantitative CategoricalDoes more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the test statistic for this hypothesis test? -0.532 1.945 0.0127 -3.196
- A preschool teacher is interested in whether the type of math program used impacts learning. One class receives a workbook to complete at home and another class receives an interactive app. The preschool teacher then compares whether those who received the interactive app versus the workbook perform better on a math test (percentage correct). Identify the independent variable and the operational definition Identify the dependent variable and the operational definition. Below you will find data for this experiment. Draw a histogram for each of the math programs. Determine if the data for each condition presents any skewness or kurtosis properties. Compute the following for each condition below: ∑X ∑(X)2 ∑X2 ∑(X-1) ∑(X-1)2 Workbook X f 80 2 79 2 75 3 81 1 60 5 65 6 75 8 App X f 90 5 80 3 82 4 94 3 78 2 93 4 92 6The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…5. Effect size for independent-measures t test - Cohen's d and r squared Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Melanie Wakefield (a professor of applied psychology and researcher at the Center for Behavioral Research in Cancer in Victoria, Australia) and her colleagues conducted a study to assess the relation between exposure to tobacco companies' youth smoking prevention advertising and youth smoking-related beliefs, intentions, and behaviors. You use Professor Wakefield's research to design an experiment with two groups of middle school students from Morocco. You show the tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students approve/disapprove of adults smoking, using a 5-point Likert scale. You do not have a prediction about the…
- Which of the following is NOT a threat to the internal validity of an experiment? Experimenter effects. Confounding variables Demand characteristics. Within-groups design.For an experiment comparing two methods of teaching social skills training to autistic children, the independent variable is and the dependent variable is Question 11 options: teaching methods; the autistic children the autistic children; the social skills that are learned the social skills that are learned; the autistic children teaching methods; the social skills that are learnedA researcher selected an all-girls high school to study math achievement by comparing text lessons vs. visual lessons (the independent variable) and used final exam scores as the dependent variable. He arranged for text lessons in the Fall and visual lessons in the Spring. What is confounded with what? a. type of lesson with season of year b. Girls with exam scores and season of year c. type of lesson with exam scores d. season of year with exam scores