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
The sum of squares between samples is equal to 1.6. The sum of squares within samples is equal to 38.0. You calculated the f-ratio above. The corresponding p-value for the f-ratio you calculated is p = 0.78. Is this finding significant?
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- As an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05. Psychology Chemistry Engineering Freshmen 3, 4, 4, 2, 4 4, 5, 7, 8, 4 5, 7, 7, 8, 5 Senior 4, 5, 5, 3, 5 8, 5, 6, 7, 7 9, 9, 8, 7, 9 Complete the ANOVA summary table below: Source SS df MS (variance) F MAJOR CLASS MAJOR*CLASS ERROR/RESIDUAL Nothing here TOTAL Nothing here Nothing here What can we conclude?…arrow_forwardA researcher would like to know if stress has a negative effect on memory performance. One group of participants was exposed to a stress inducing noise and the second group listened to a calming music. Afterwards, both groups were given a memory test. The researcher compared the average memory test scores of two groups. What is the dependent variable in this experiment? Stress inducing noise. O Stress reducing calming music. O Level of stress (i.e., stress inducing noise or calming music) Memory test performance.arrow_forwardYou 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?arrow_forward
- 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?arrow_forwardYou 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 within samples?arrow_forwardTwo students, Donald and Martin, want to find out who has the higher GPA when compared to each of their schools. Donald has a GPA of 3.85, and his school has a mean GPA of 3.25 and a standard deviation of 0.4. Martin has a GPA of 3.75, and his school has a mean of 3.1 and a standard deviation of 0.5. Who has the higher GPA when compared to each of their schools?arrow_forward
- Brianna and Miranda began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Brianna took a test in Art History and earned a 78.3, and Miranda took a test in Social Studies and earned a 61.2. Use the fact that all the students' test grades in the Art History class had a mean of 71.3 and a standard deviation of 11.7, and all the students' test grades in Social Studies had a mean of 62.3 and a standard deviation of 8.2 to answer the following questions. a) Calculate the z-score for Brianna's test grade. [Round your answer to two decimal places.] = 2 b) Calculate the z-score for Miranda's test grade. [Round your answer to two decimal places.] c) Which person did relatively better? Brianna O Miranda They did equally well. Submit Question logi $22 3 FI F5 F7 % & W R T. Y. こ9 * COarrow_forwardSuppose two variables are negatively correlated. Does the response variable increase or decrease as the explanatory variable increases?arrow_forwardYou may need to use the appropriate technology to answer this question. Data were collected on the top 1,000 financial advisers. Company A had 239 people on the list and another company, Company B, had 121 people on the list. A sample of 16 of the advisers from Company A and 10 of the advisers from Company B showed that the advisers managed many very large accounts with a large variance in the total amount of funds managed. The standard deviation of the amount managed by advisers from Company A was s₁ = $583 million. The standard deviation of the amount managed by advisers from Company B was s₂ = $484 million. Conduct a hypothesis test at a = 0.10 to determine if there is a significant difference in the population variances for the amounts managed by the two companies. What is your conclusion about the variability in the amount of funds managed by advisers from the two firms? State the null and alternative hypotheses. 2 2 H₂:0 2 Find the value of the test statistic. (Round your answer…arrow_forward
- 12 Kimberly and Alexis began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Kimberly took a test in Math and earned a 76.4, and Alexis took a test in Social Studies and earned a 63.2. Use the fact that all the students' test grades in the Math class had a mean of 76.8 and a standard deviation of 9.9, and all the students' test grades in Social Studies had a mean of 62.6 and a standard deviation of 9 to answer the following questions.a) Calculate the z-score for Kimberly's test grade.z= [Round your answer to two decimal places.]b) Calculate the z-score for Alexis's test grade.arrow_forwardA 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?arrow_forwardYou hypothesize that people in stats classes are happier than people in all other classes. You compare happiness scores in three of your classes: Statistics, Developmental Psychology, and Social Psychology. In Statistics there are 15 students and the mean happiness rating is 23.1 with a standard deviation of 9.78. In Developmental Psychology there are 15 students and the mean happiness rating is 24.4 with a standard deviation of 2.92. In Social Psychology there are 15 students with a mean rating of 17.7 and standard deviation of 8.46. The sum of squares between groups is equal to 384. The sum of squares within groups is equal to 2461. Use the One-Way ANOVA calculation table to help calculate. What is the degrees of freedom between samples?arrow_forward
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