The order of mean subtraction for the independent samples t-test is dependent on.... the direction of...
How is the Dependent Samples t Test different from Independent samples t Test in terms of samples? What are similarities in the assumptions behind both the Dependent and Independent Samples t Test? What is Dependent Samples t Test with one sample also known as In a dependent Samples t test what is the df for a sample of 100 participants in a particular study?
what is the hypothesis for one-sample t test, dependent samples t test, independent samples t test.
Explain when you would you use a dependent samples t-Test rather than an independent sample t-Test? What are the benefits and problems with each design? Be specific! Using similar IVs and DVs, design a study that uses a dependent samples t-Test design and a study that uses an independent samples t-Test (base them on the same general topic – this can be any topic, not just the “how fast” topic)). Make sure to note your independent and dependent variables for...
Match each research question below with the appropriate analysis: (independent samples t-test, dependent samples t-test, one-way ANOVA, or Chi-Square analysis). 1. Do cereals with a grade of A have significantly fewer calories per serving compared to those with a grade of B? 2. Is there a significant difference in the number of grams of carbohydrates and grams of protein within specific cereals? 3. Is there a significant difference in the ratings from cereals of different manufacturing brands?? 4. Is there...
An Independent Samples T Test is used to make an inference about whether two groups in the population have different averages on some quantitative measure or dependent variable. This test could be used to compare the average annual earnings of High School graduates, compared to Community College graduates For this potential research question, answer the following questions. Please use only numeric values in your answers to questions 1, 2 and 3 and a word to answer question 4 1) According...
An Independent Samples T Test is used to make an inference about whether two groups in the population have different averages on some quantitative measure or dependent variable. This test could be used to compare the average annual earnings of High School graduates, compared to Community College graduates For this potential research question, answer the following questions. Please use only numeric values in your answers to questions 1, 2 and 3 and a word to answer question 4 1) According...
Write a research hypothesis for which the independent samples t-test will be appropriate. Clearly identify the independent and dependent variables and two potential confounding factors.
rowan.instructure.com Question 3 0.5 pts Which of the following are assumptions of the independent samples t-test? Skewed population Sample size over 30 Homogeneity of variance Related samples Question 4 0.5 pts What is the term called in an independent samples t-test that averages together the variances of the two samples? Mean variance Average variance Standard error of the difference Pooled variance Question 5 0.5 pts How is the standard error of the difference (used in independent samples t-tests) different from...
QUESTION 11 You run an independent samples t-test between two groups, and find a t-statistic of t=1.67. Is this sufficient to reject the null hypothesis? Assume α=0.05 and a one-sided test. Yes, > 1.67 is sufficient to reject the null. No, > 1.67 is not sufficient to reject the null. Not enough information. 2 points QUESTION 12 In a dependent samples t-test, the sample sizes must be equal. True False 2 points QUESTION 13 In an independent samples...
A research report describing the results from a dependent samples t test states, "The data showed a significant difference between treatments, t(22) = 4.71, p < .05." From this report you can conclude that the number of people in the study is ________ and the test was ____________. (Note: Assume matched subjects are not used when answering this question.) a. 22, not significant b. 22, significant c. 23, not significant d. 23, significant