Question 1
For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc
Question 2
For ANOVA: the alternative hypothesis is: Mu1 ≠Mu2 ≠Mu3......etc.
Question 3
Both ANOVA and Chi square tests are always right tail tests
Question 4
For ANOVA, you only complete a Tukey's means comparisons test if the overall F* value was significant (i.e., p<0.05)
Question 5
Both F and Chi Square distributions vary with df
Question 6
Both F and Chi Square distributions can be used to compare multiple sample means
Question 7
A researcher convinces 15 students to partake in her study to see if the 3 methods of shock therapy, electrolyte therapy, and osmosis can affect students’ test scores. She randomly assigns 5 students to each method. Given SSTreatment = 2510 and SSError = 160, find F statistic. Round to the nearest tenths.
Question 8
For ANOVA, if you reject the null hypothesis, then you know that all the means are significantly different from each other.
Question 9
You want to compare 3 means. If you DON'T use ANOVA and instead use 3 separate t-tests, the probability of a Type I error rate is still 5%
Question 10
You only do a Tukey's Means comparisons test if you reject the null hypothesis
1. True
2. True
3. False
4. True
5. True
6. False
7. False
9. False
10. True
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Question 1 For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc True False Question...
5.For ANOVA: the null hypothesis is: Mu1 = Mu2 = Mu3......etc T/F 6.For ANOVA: the alternative hypothesis is: Mu1 ≠Mu2 ≠Mu3......etc. T/F
Question 1: True or False (2 points each) a) ANOVA tests the null hypothesis that the sample means are all equal. b) A strong case for causation is made in an observational study. c) In rejecting the null-hypothesis, one can conclude that all the means are different from each other d) One-way ANOVA can be used only when there are fewer than five means to be compared. e) The null hypothesis for the Levene’s test for homogeneity of variance is...
TRUE OR FALSE 1. A type 2 error occurs when we reject a true null hypothesis 2. All Chi- Square tests are right tailed tests. 3. It is valid to use the correlation coefficient to describe the relationship between major and working-status of a group of college students 4. If we decrease the Type 1 error rate, the Type 2 error rate will increase (given the same sample) 5. As the value of correlation coefficent (r) gets closer to -1,...
8. Degrees of freedom for chi-squared tests are determined by sample size. True or False 7. If a correlation between two variables is negative, that means there is no linear relationship between them. True or False 2. For a chi-square test, if the observed number of cases in your sample fits what you expect given your knowledge of the population, you would reject the null hypothesis. True or False 1. A two-tailed hypothesis will have more statistical power than a...
Question 2 1 pts In an ANOVA test comparing several population means, if the alternative hypothesis is true, the F statistic tends to be close to zero. True False Question 3 1 pts If the two variables in a two-way table are not associated, the conditional distributions in the table are similar to each other. O True False Question 4 1 pts In a multiple regression model, if the P-value associated with the F test is less than the significance...
Please answer all parts Attempts: Average: /12 ANOVA calculations and rejection of the null hypothesis Aa Aa The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the remaining questions. Number of Sum of Observations Sample Mean Squares (SS) 650 645 625 Treatment Private prep class High school prep class...
11. What is the null hypothesis for a t-test for two independent groups? a. If mul and mu2 are the population means of the two groups, then the null hypothesis is Ho: mul-mu2=0. b. If sl and s2 are the population standard deviations of the two groups, then the null hypothesis is Ho: sl-s2=0. 12. Differentiate between a data set that should be analyzed using a paired t-test from a data set that should be analyzed using a t-test for...
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
1. In a one-way ANOVA, what is always true about the null hypothesis? A. Some of the population means are different. B. There is no difference in the population means. C. All the population means are different. D. There is some treatment effect.
question 10-13 Please and Thank you Question 10 (0.5 points) True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True False Question 11 (0.5 points) True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis True False Question 12 (0.5 points) True or False: The higher the p-value of a hypothesis test, the more evidence...