The following table summarizes the results of 2-factors ANOVA for independent samples with 3 levels of Factor A, 2 levels of Factor B, and n = 9 participants in each group.**Part A.** Fill in all missing values in the Summary table below. Hint: start from finding the *df* values based on the study description.| Source | SS | df | MS | F ||------------------|-----|-----|-----|----|| **Between Groups**| 75 | | | || Factor A | 18 | ____| ____| Fₐ = 2.25 || Factor B | 21 | 1 | 21 | F_B = 5.25 || Interaction A x B| 36 | ____| ____| FₐₓB = ____|| **Within Groups**| 192 | ____| | || **Total** | 267 | | | |**Part B.** Based on the completed Summary table in Part A, decide if these data indicate any significant effects (use p < .05 for hypothesis testing). For each effect tested, write the conclusion in APA format (i.e., for each effect, you must decide if the computed F is significant and write the conclusion in APA format with the interpretation of the test outcome, see the conclusion example on the lecture slides).- The conclusion about the main effect of Factor A:- The conclusion about the main effect of Factor B:- The conclusion about the Interaction effect of Factor A and Factor B:

The partial output of the two-way ANOVA with interaction is given.Given that,No. of levels for…

Answered: Part B. Based on the completed Summary…

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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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.
In each graph, the shaded region represents the P-value of a hypothesis test. Find the P-value, given that the Standardized Test Statistic is T = - 1.9. Round to 4 decimals a. -4 -3 -2 -1 4 T (df.= 19) b. -2 -1 2. T (df. = 19) c. -1 1 4 T (df. = 19) Submit Question MacBook Air
A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?
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What do the results mean? What type of error could you be making and what would that mean? Redo as a one-tail test, expecting a decrease in the number of headaches. Pay attention to what changes and what doesn’t and why.
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You may need to use the appropriate technology to answer this question. Periodically, customers of a financial services company are asked to evaluate the company's financlal consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. ConsultantA Consultant B = 16 n2 = 10 x, 6.83 x2 = 6.28 5- 0.68 52 = 0.75 (a) State the null and alternative hypotheses. O Ho: H1- H2 * 0 H: H-H2=0 O Ho: H-H2> o Ho Hy-H250 H -H2>0 O Ho: H-H2=o H: H-H2 0 O Ho: H-H25o H H-H2 0 (b) Compute the value of the test statistic. (Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value…
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A local company is interested in supporting environmentally friendly initiatives such as carpooling among employees. The company surveyed all of the 200 employees at the downtown offices. Employees responded as to whether or not they own a car and to the location of the home where they live. The results are shown in the table below. If the person owns a car, he or she is more likely to live elsewhere in the city than to live in the downtown area in the city. If the person does not own a car, he or she is more likely to live outside the city than to live in the city (downtown area or elsewhere). The person is more likely to own a car if he or she lives in the city (downtown area or elsewhere) than if he or she lives outside the city. The person is more likely to live in the downtown area in the city than elsewhere in the city. The person is more likely to own a car than not to own a car.
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Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…

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