The two sample t-test is useful because it compares the means between two groups, whereas ANOVA...
Homework Answers
The ANOVA compares the mean of more than two groups, we can use it for a thousand groups or even more. The utility of ANOVA is not affected by the number of groups until and unless the conditions to apply ANOVA are satisfied.
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The two sample t-test is useful because it compares the means
between two groups, whereas ANOVA...
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...
One-way ANOVA test and t-tests compare means. Which of the following should you consider to select...
One-way ANOVA test and t-tests compare means. Which of the following should you consider to select the One-way ANOVA over multiple t-tests when you have more than two groups? A. Multiple t-Tests will increase the likelihood of a Type I Error. B. Multiple t-Tests will decrease the likelihood of saying something is significant when it is not. C. Multiple t-Tests will increase the likelihood of more accurate t-values. D. Multiple t-tests allow to run more tests and the more tests...
Select the false statement about ANOVA. A one-way ANOVA hypothesis test considers comparisons between populations based...
Select the false statement about ANOVA. A one-way ANOVA hypothesis test considers comparisons between populations based on one characteristic, while a two-way ANOVA hypothesis test considers comparisons between populations based on multiple characteristics. If a researcher wants to study the effectiveness of three brands of nicotine patches, the researcher should use a One-Way ANOVA test. If a researcher wants to compare the mean wages of females in different age groups at a particular company, he or she should not use...
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...
(Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA...
(Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups RECALL: Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: VEA where yi and ỹ2 are the sample means in group 1 and 2, respectively. The pooled variance is given by where s and s3 are the...
an anova hypothesis test is equivalent to conducting two sample t-test between every pair of samples....
an anova hypothesis test is equivalent to conducting two sample t-test between every pair of samples. if there are three samples, there are three pairs:1-2,1-3, 2-3. how many pairs are there when there are 4 samples?
A two–independent sample t-test is computed when mean differences are compared between two or more groups...
A two–independent sample t-test is computed when mean differences are compared between two or more groups sampled from a population with an unknown variance. Question 2 options: True or False
After observing statistically significant ANOVA results, Bonferroni-corrected inferences to determine which groups differ from each other...
After observing statistically significant ANOVA results, Bonferroni-corrected inferences to determine which groups differ from each other require the following steps (select all that apply): o Select one or more: a. Compute the type I error rate allowable for each pairwise comparison in order to insure that the type I error rate across all comparisons does not exceed some pre-specified level b. Determine that the difference between a specific pair of groups is statistically significant if the t-test p-value is less...
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the...
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the difference between means for two related samples D: t-test for the difference between means for two independent samples with homogeneity of variance E: t-test for the difference between means for two independent samples with heterogeneity of variance F: a one sample z-test for proportions (or a chi-square goodness of fit) G: chi-square goodness of fit only (where a one sample z-test of proportions isn’t appropriate) H: a two-sample z-test...
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...
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...
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...
(Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups RECALL: Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: VEA where yi and ỹ2 are the sample means in group 1 and 2, respectively. The pooled variance is given by where s and s3 are the...
After observing statistically significant ANOVA results, Bonferroni-corrected inferences to determine which groups differ from each other require the following steps (select all that apply): o Select one or more: a. Compute the type I error rate allowable for each pairwise comparison in order to insure that the type I error rate across all comparisons does not exceed some pre-specified level b. Determine that the difference between a specific pair of groups is statistically significant if the t-test p-value is less...
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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