QUESTION 7You are interested in seeing whether emotions impact decision making. You have three groups--a happy group, a sad group, and aneutral group. For the happy group there are 5 participants and the mean risky decision making score 5.0 with a standard deviationof 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. Forthe 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 offreedom within samples? Please do the calculations on the handout provided.

Anova is used to measure the mean significant between the three or more groups. It measure the mean…

Answered: QUESTION 7 You are interested in seeing…

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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you are provideded with the dataset representing the scores of a group of students who underwent a new tutoring program to improve their math skills. The mean national score is 75. You want to determine if the new tutoring program had a significant positive impact on the students scores. Which type of test should you conduct? State the null and research hypotheses.
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.
You collect data on number of hours spent studying, on average, throughout the Fall 2019 semester for all Stonehill students. You have a colleague at the College of the Holy Cross in Worcester, MA who collects the same data at Holy Cross. You want to compare the average number of hours spent studying during the Fall 2019 semester for male students at Stonehill, female students at Stonehill, male students at Holy Cross and female students at Holy Cross. Which statistical test would you use to compare the students at Stonehill and Holy Cross to look for significant differences in study time? a. one sample t test b. two sample t test c. repeated measures t test d. ANOVA
You 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?
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. You calculated the f-ratio above. The corresponding p-value for the f-ratio you calculated is p = 0.78. Is this finding significant?
What is a confounding variable in research, and how can it affect the results of a study? Provide an example of a confounding variable in a hypothetical study.
Please also explain why you determined whether or not the results are statistically significant. In another memory experiment, the mean scores for participants in Condition A and Condition B came out exactly the same!
Need help with C, F and G please!
Nick and Donald began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Nick took a test in Science and earned a 79.6, and Donald took a test in English and earned a 61.2. Use the fact that all the students' test grades in the Science class had a mean of 73.8 and a standard deviation of 9.3, and all the students' test grades in English had a mean of 66.2 and a standard deviation of 8.6 to answer the following questions.a) Calculate the z-score for Nick's test grade.z=z=__?__b) Calculate the z-score for Donald's test grade.z=z=__?__c) Which person did relatively better? __Nick __Donald __They did equally well.
A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean exam score on the previous three tests. She then asked them to rate how likely they were to cheat on an exam if the opportunity presented itself with a very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat. The data: Achievement_Group Cheat 1 20 1 40 1 49 1 50 1 51 1 51 1 52 1 53 1 58 1 42 1 48 1 48 1 52 1 55 1 55 1 56 1 59 1 67 1 80 1 79 2 19 2 25 2 20 2 29 2 24 2 32 2 25 2 27 2 30 2 55 2 40 2 25 2 27 2 35 2 42 2 30 2 30 2 34 2 40 2 27 3 60 3 65 3 69 3 78 3 79 3 80 3 80 3 90 3 95 3 50 3 55 3 55 3 60 3 69 3 70 3 70 3 88 3 90 3 90 3 91 Before opening the data,…
A clinical psychologist took a sample of four people from the population of people with anxiety disorders and gave them an interval-level anxiety scale. Their score were 57, 60, 67, and 68 with a mean of 63.00. What is s?
. Justin wants to know whether a commonly prescribed drug does improve the attention span of students with attention deficit disorder (ADD). He knows that the mean attention span for students with ADD who are not taking the drug is 2.3 minutes long. His sample of 12 students taking the drug yielded a mean of 4.6 minutes. Justin can find no information regarding σx , so he calculated s2x =1.96. a. Identify the independent and dependent variables. b. In a sentence, state the null hypothesis being tested. c. Using symbols, state the null and alternative hypotheses. d. Determine the critical region using a one-tailed test with alpha = .05. e .Conduct the hypothesis test (Do the math and compare the t-critical and t-obtained values). f. State your conclusions in terms of H0 (Should you reject the H0 or fail to reject/accept the H0). g. Based on your analysis, is there a relationship between the drug and attention span?

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