Quiz 4 ANOVA

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San Jacinto Community College *

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Statistics

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Apr 3, 2024

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pdf

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Quiz 4: ANOVA Quiz 4 covers all materials from Weeks 13-15. For a review, see your homework. You will have 60 minutes (1 hour) to complete this quiz. If you go over the 60 minutes, your grade will be penalized. Once you start the exam, you must complete the exam within 60 minutes, so make sure you are ready to begin. You can leave and come back from the exam, but you must submit after 60 minutes. If you leave and come back, make sure you save your answers. This is open-note, but keep in mind that you do not have time to look up every single question, so make sure you study ahead of time! The questions will ask you to round your answers when entering them. You should not round your answers when you are doing your calculations as this can create compounding errors. You should only round your answers to enter them into Canvas. Question at position 1 1 5 points Question 1 is unpinned. Click to pin. Question at position 1 You have a significant difference and reject the null hypothesis when: the p-value is less than .05 the p-value is greater than .05 the t-value is less than .05 the t-value is greater than .05 Question at position 2 2 5 points Question 2 is unpinned. Click to pin. Question at position 2 ANOVA stands for another variable analyzing numbers only valid analysis of variance a null on variance analysis Question at position 3 3 5 points Question 3 is unpinned. Click to pin. Question at position 3 Which of the following is NOT a type of inferential statistic? one-way ANOVA variance independent samples t-test paired samples t-test

Question at position 4 4 5 points Question 4 is unpinned. Click to pin. Question at position 4 You do NOT have a significant difference and accept the null hypothesis when: the p-value is greater than .05 the f-value or t-values is less than .05 the f-value or t-value is greater than .05 the p value is less than .05 Question at position 5 5 5 points Question 5 is unpinned. Click to pin. Question at position 5 The main difference between an ANOVA and a t-test is that in ANOVA you are comparing three or more group difference where as with t-tests you can only test the difference between two groups. The main difference between an ANOVA and a t-test is that in ANOVA you are comparing three or more group difference where as with t-tests you can only test the difference between two groups. True False Question at position 6 6 5 points Question 6 is unpinned. Click to pin. Question at position 6 You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviation of 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. For the neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8. The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. What is the degrees of freedom between samples ? 2 Question at position 7 7 5 points Question 7 is unpinned. Click to pin. You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the

mean risky decision making score 5.0 with a standard deviation of 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. For the neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8. The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. What is the degrees of freedom within samples ? 12 Question at position 8 8 5 points Question 8 is unpinned. Click to pin. You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviation of 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. For the neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8. The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. What is the total degrees of freedom? 14 Question at position 9 9 5 points Question 9 is unpinned. Click to pin. You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviation of 0.7. For the sad group there are 5 participants and the mean risky decision making score 5.4 with a standard deviation of 1.1. For the neutral group there are 5 participants and the mean risky decision making score 5.8 with a standard deviation of 2.8. The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. What is the mean square between samples ? 0.8 Question at position 10 10 5 points Question 10 is unpinned. Click to pin. Question at position 10 You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and a neutral group. For the happy group there are 5 participants and the

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