The structure of a two-factor study can be presented as a matrix with a level of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean differences that are evaluated by each of the three hypothesis test that make up a two-factor ANOVA
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The structure of a two-factor study can be presented as a matrix with a level of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the
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- The structure of a two-factor study can be presented as a matrix with the levels of one factordetermining the rows and the levels of the second factor determining the columns. With thisstructure in mind, describe the mean differences that are evaluated by each of the threehypothesis tests that make up a two-factor ANOVA.Mr. Saif has conducted a research study to know the attitude of graduate students towards entrepreneurship business. In this regard, he has collected the data from the Sultan Qaboos University, Muscat and University of Technology and Applied Sciences, Muscat using a structured questionnaire. The feedback of 400 students has been collected from these universities. For the data analysis, the researcher has used exploratory factor analysis and regression to evaluate the factors influencing the attitude of students towards entrepreneurship business. Question: Evaluate the methodology approach used for this study by discussing its features.The structure of a two-factor study can be presented as a matrix, with one factor determining the rows and the second factor determining the columns. With this structure in mind, identify the three separate hypothesis tests that make up a two-factor ANOVA, and explain the purpose of each test. Describe the mean differences that are evaluated by each of the three hypothesis test.
- A teacher wanted to see if social anxiety affects performance on an oral assignment. To examine this, students completed social anxiety scales and were classified into “Low,” “Average,” and “High” levels of social anxiety. There are 3 columns (15 rows x 3 columns), one column for each of the anxiety levels with oral presentation grades (in percentages) earned by the 45 students. What would be the most appropriate statistical analysis (ANOVA, t-test, etc.) to determine whether grades on the oral assignment differed based on level of social anxiety?Design a two-factor ANOVA with variables of interest (personal, academic, career). In addition state your 3 hypothesis (2 main effects, 1 interaction). Example: Two-Factor ANOVA to evaluate the effect of Video Game Violence and Grade on Aggression Factors1. Factor A: Video Game Violence level (3 levels: low, moderate, high) 2. Factor B: Grade level (4 levels: 1st grade, 2nd grade, 3rd grade, 4th grade) 3. Dependent Variable: Aggression Hypothesis Tests1. Video Game Violence level affects Aggression2. Grade level affects Aggression 3. Interaction between Video Game Violence level and Grade level: video game violence level will affect aggression but only for 3rd and 4th graders but not for 1st and 2nd graders. INCLUDED ABOVE IS AN EXAMPLE. THIS IS NOT AN ESSAY QUESTION OR INCOMPLETE. THIS HAS BEEN REJECTED TWICE PLEASE DON'T DO THE SAME.There are 39 observations representing the 39 Peruvians in the dataset and 10 variables. Factor Analysis was performed on the data set, giving the following result for the factor loadings based on the correlation matrix, with PC as factor extraction method unrotated and using 3 factors. Variable Age Years Weight Height Chin Forearm Calf Pulse Systol Diastol Factor Loadings (Unrotated) (peruvian) Extraction: Principal components (Marked loadings are >.500000) Factor 2 Factor 1 -0.349816 0.763287 -0.416995 0.764342 -0.884494 0.243825 -0.255384 0.188597 -0.707324 -0.104618 -0.789642 -0.327357 -0.679921 -0.456050 -0.465664 0.034710 -0.522348 -0.274233 -0.479173 -0.166765 Factor 3 0.078367 0.169844 -0.220992 -0.680960 0.363285 0.365142 0.221273 0.272035 -0.538937 -0.562990 What is the specific variance of the variable Years? (final answer to 3 decimal places)
- Mr. Saif has conducted a research study to krow the attitude of graduate students towards entrepreneurship business. In this regard, he has collected the data from the Sultan Oaboos University, Muscat and University of Technology and Applied Sciences, Muscat usinga structured questionnaire. The feedback of 400 students has been collected from these universities. For the data analysIs, the researcher has used exploratory factor analysis and regression to evaluate the factors nfluienaing the attitude of students towards entrepreneurship business. Question: Evaluate the methodology approach used for this study by discussing its features.When conducting a retrospective cohort study what are some possible selection and information bias one can encounter especially because we have to use existing data? how can they be avoided or minimized (mitigated) during the study study design to avoid them?Courtney and Lexi wondered if the distribution of color was the same for name-brand gummy bears (Haribo Gold) and store- brand gummy bears (Great Value). To investigate, they randomly selected 6 bags of each type and counted the number of gummy bears of each color. The data are presented in the table. Courtney and Lexi use a chi-square test for homogeneity to assess differences between the gummy bear brands. Do these data provide convincing evidence that the distributions of color differ for name-brand gummy bears and store-brand gummy bears at the a = 0.05 level? Survey Type Which of the following is false? Name Store Total Red 137 212 349 O Because the P-value of 0.7698 > a = 0.05, we fail Green 53 104 157 to reject Ho. There is not convincing evidence of a difference in the distribution of color for name- Yellow 50 85 135 Color Orange brand and store-brand gummy bears. 81 127 208 White 52 O x? = 1.81 94 146 Total O The hypotheses are Ho: There is no difference in 373 622 995 the…
- Which statistical method is used in MP and ML to evaluate the support of nodes?Lake Martin and Lake Fields are two large local lakes inhabited by white sturgeon. A while back there was an environmental disaster at Lake Martin. Kala is an ecologist who wants to see if the mean weight (in kg) of adult white sturgeon now living in Lake Martin is less than the mean weight (in kg) of adult white sturgeon now living in Lake Fields. The ecologist catches a random sample of 11 adult white sturgeon at Lake Martin and a random sample of 12 adult white sturgeon at Lake Fields. (These samples are chosen independently.) Each fish has its weight (in kg) recorded. The white sturgeon caught at Lake Martin have a sample mean weight of 90.24 with a sample variance of 15.11. The white sturgeon caught at Lake Fields have a sample mean weight of 98.52 with a sample variance of 231.20. Assume that the two populations of weights are approximately normally distributed. Can the ecologist conclude, at the 0.01 level of significance, that the population mean of the weights of adult white…Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10.xlsx. Do not use any software that I did not assign. Times Late/ Final Exam Absent Grade 9 84.00 2 92.50 12 52.00 5 87.00 11 75.00 24 45.00 7 39.00 10 46.00 19 63.00 2 65.00 2 98.00 17 24.50 8 58.00 20 69.50 55 49.00 23 68.50 70.00 4 75.50 85.00 7 97.00 2 97.00 93.50 93.50 2 78.00 2 86.00 2 88.00 Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable?