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?
A Verizon researcher compared the number of text messages sent by a sample of teenage boys to the population mean for all Verizon users. She found no evidence to conclude that there was a difference. Unfortunately, her conclusion was in error. (a) What type of error did she make? (b) What conclusion should she have reached?
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.
GSS 2018 respondents were asked to rate their level of agreement to the statement, “Differences in income in America are too large.” Responses were measured on a 5-point scale: 1 = strongly agree, 2 = agree, 3 = neutral, 4 = disagree, and 5 = strongly disagree. Strong Democrats had an average score of 1.69 (s = 1.04, N = 86) while strong Republicans had an average score of 2.11 (s = 1.05, N = 67). The estimated standard error of the difference between meansis 0.17. What is the appropriate test statistic? Why? Test the null hypothesis with a one-tailed test (strong Democrats are more likely to agree with the statement than strong Republicans); α = .05. What do you conclude about the difference in attitudes for these two political groups? If you conducted a two-tailed test with α = .05, would your decision have been different?
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…
only need help with the questions in the second picture attached.
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.
A researcher designs an intervention to combat anti-Arab oppression. She also designs a questionnaire to measure anti-Arab oppression so she can test the participants' level of anti-Arab oppression before and after the intervention. She tests one version of her questionnaire with 45 statements and a shorter version with 12 statements. In both questionnaires, the participants respond to each statement with a rating on a 5-point Likert scale with 0 equaling "strongly disagree" and 4 equaling "strongly agree." The overall score for each participant is the mean of his or her ratings for the different statements on the questionnaire. Look at the following graphs. Graph I graphs the results from the long version, and Graph II graphs the results from the short version. Graph I Graph II PARTICIPANTS PARTICIPANTS 8 8 7 7 6 6 4 4 3 3 2 1 1 1 2 3 4 2 4 LONG QUESTIONNAIRE SCORE SHORT QUESTIONNAIRE SCORE Complete the following sentences by trusting your eyes to see meaningful differences in the two…

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