Explain how the ANOVA technique avoids the problem of the inflated probability of making Type I...
Explain how the ANOVA technique avoids the problem of the inflated probability of making Type I error that would arise using the alternative method of comparing groups two at a time using the t-test for independent groups.
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Explain how the ANOVA technique avoids the problem of the
inflated probability of making Type I...
please give correct and answer all question.. this is revision question... 14. Which of the following...
please give correct and answer all question.. this is revision
question...
14. Which of the following statistical tests is BEST TO normally distributed data? in statistical tests is BEST to use for comparing two samples A. Independent sample t-test B.Mann-Whitney test C. Regression analysis D. Logistic regression analysis 15. Which of the following is NOT related to central limit theoret? sample size is large. bution of sample mean, x is approximately normal regardless of Xin the population 9. The mean...
11. What is the null hypothesis for a t-test for two independent groups? a. If mul...
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...
Q1- How many pairwise comparisons are necessary if a researcher wishes to compare a quantitative variable...
Q1- How many pairwise comparisons are necessary if a researcher wishes to compare a quantitative variable across a factor with 7 levels? What is the probability of making at least one Type I Error when comparing a quantitative variable across a factor with 7 levels if each pairwise comparison is conducted using a 10% significance level? Q2- Provide an example setting where a One-Way Analysis of Variance (ANOVA) would be an appropriate statistical technique for analysis? Include the following: •...
Which of the following is the best reason why one-way ANOVA should be used instead of...
Which of the following is the best reason why one-way ANOVA should be used instead of running several t-tests when there are more than two experimental groups? A. Doing several t-tests means you might forget which variables you have compared B. t-tests and ANOVA require different levels of measurement for their dependent variable C. Performing several t-tests raises the probability of making at least one Type I error D. Performing several t-tests raises the probability of making at least one...
Homework8 Name and types DUE: April ANOVA theory 17, 2019 1) Why can we not do a series of t-test...
Homework8 Name and types DUE: April ANOVA theory 17, 2019 1) Why can we not do a series of t-tests when comparing more than two groups? 2) For an ANOVA, in English, what is the null hypothesis? The alternative? What would it mean to reject the null? How is this different than when we reject the null in a t test? 3) If I told you I ran a three-way MANCOVA, what could you tell me about my design and...
please show your work...................... 14. a. Probability of making a Type I error b. Probability of...
please show your work......................
14. a. Probability of making a Type I error b. Probability of making a Type Il error c. Probability of rejecting Ho when you are supposed to d. Probability of not rejecting Ho when you shouldn't. Which of the following probabilities is equal to the significance level a? 15. If we reject the null hypothesis when it is false, then we have committed a. a Type ll error b. a Type l error both a Type...
Q7) A hypothesis test is to be performed with a Null hypothesis and an alternative hypothesis , the...
Q7) A hypothesis test is to be performed with a Null hypothesis and an alternative hypothesis , the population standard deviation is σ=3.0, the sample size is 30, and the significance level is α=0.025. What is a type I error? (1 mark) What is the chance of making a type I error in the above test? (1 mark) What is a Type II error? (1 mark) What value would the sample mean have to be greater than to reject Ho? (2 marks) It is...
Although t-tests can also be used to compare means, they are limited to comparing two at a time. ...
Although t-tests can also be used to compare means, they are limited to comparing two at a time. Using multiple t-tests to compare experimental error, ultimately hindering the results. ANOVA provides a way to simultaneously compare multiple means, without the elevated experimental error. more than two means from the same set of data is possible, but it creates an increased risk of Comparing Multiple Groups For this discussion, begin by creating an example of a research situation that would involve...
1. When do we use an independent groups t-test? a. b. c. d. When we are...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
Question: 1 Part A: There are several assumptions that are made in the one-way ANOVA model....
Question: 1 Part A: There are several assumptions that are made in the one-way ANOVA model. Which one in the list is NOT one of the assumptions? a. The populations means are all equal if Ho is true. b. The variances within each treatment group are statistically equal. c. The mean of the observations, in at least one treatment group, is statistically significantly different from the mean of the observations in any one of the other treatment groups. d. All...
please give correct and answer all question.. this is revision
question...
14. Which of the following statistical tests is BEST TO normally distributed data? in statistical tests is BEST to use for comparing two samples A. Independent sample t-test B.Mann-Whitney test C. Regression analysis D. Logistic regression analysis 15. Which of the following is NOT related to central limit theoret? sample size is large. bution of sample mean, x is approximately normal regardless of Xin the population 9. The mean...
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...
Homework8 Name and types DUE: April ANOVA theory 17, 2019 1) Why can we not do a series of t-tests when comparing more than two groups? 2) For an ANOVA, in English, what is the null hypothesis? The alternative? What would it mean to reject the null? How is this different than when we reject the null in a t test? 3) If I told you I ran a three-way MANCOVA, what could you tell me about my design and...
please show your work......................
14. a. Probability of making a Type I error b. Probability of making a Type Il error c. Probability of rejecting Ho when you are supposed to d. Probability of not rejecting Ho when you shouldn't. Which of the following probabilities is equal to the significance level a? 15. If we reject the null hypothesis when it is false, then we have committed a. a Type ll error b. a Type l error both a Type...
Although t-tests can also be used to compare means, they are limited to comparing two at a time. Using multiple t-tests to compare experimental error, ultimately hindering the results. ANOVA provides a way to simultaneously compare multiple means, without the elevated experimental error. more than two means from the same set of data is possible, but it creates an increased risk of Comparing Multiple Groups For this discussion, begin by creating an example of a research situation that would involve...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
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