Homework Answers
continous variables are in the form of intervals so its not possible to apply t tetsts..
and most important is for t tets, anova we need normally distributed data and this main assmuption is not satisfied by continous data.
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3. Why is it inappropriate to apply statistical methods for continuous variables (e.g. two- sample t-test,...
Match the correct kind of statistical test for the data described Options for answers: Dependent T-test,...
Match the correct kind of statistical test for the data described Options for answers: Dependent T-test, Independent T-test, correlation, one-way ANOVA, and two-way ANOVA 1. You are assessing the amount of linear relationship between two continuous variables. 2. You are assessing differences in the averages for two categorical variables. 3. You are looking for group differences on one categorical variable that has more than two groups 4. You are looking for differences in the averages between two groups. 5. You...
Design your own study using one of the following statistical tests: one-sample t-test, paired samples t-test, independen...
Design your own study using one of the following statistical tests: one-sample t-test, paired samples t-test, independent samples t-test, or ANOVA. Give (1) your sample, (2) research question, (3) the appropriate test with the null and research hypotheses, and (4) the two variables, including (a) how you would measure both variables and (b) each variable’s level of measurement. Be creative. Do not include data in your response.
please answer questions clearly Part 3: Which Test Should You Use? scenarios. Your task is to determine which statistical test is most appropriate a), and to explain why you chose that statistic...
please answer questions clearly
Part 3: Which Test Should You Use? scenarios. Your task is to determine which statistical test is most appropriate a), and to explain why you chose that statistical test (part b). Consider things variables, scores vs. frequencies, number of groups, and what we know (or don not Below are 8 research Directions: Below are8 to test each research like continuous vs. nominal know) about various populations Your which statistical test to use. There are 12 options...
3 and 4 3. Indicate df for the following statistical tests: a. One sample t test...
3 and 4
3. Indicate df for the following statistical tests: a. One sample t test b. Independent samples t test (same N's in both groups) c. Independent samples t test (different N's) d. Paired samples t test e. Testing whether correlation coefficient is different from 0. 4. Assume you have two independent samples that you wish to compare. One sample has an N of 14 and the other has an N of 10. For a = .05, two tailed...
These weekly exercises provide the opportunity for you to understand and apply statistical methods and analysis....
These weekly exercises provide the opportunity for you to understand and apply statistical methods and analysis. Unless otherwise stated, use 5% (.05) as your alpha level (cutoff for statistical significance). #1. Define "power" in relation to hypothesis testing. #2. Alpha (a) is used to measure the error for decisions concerning true null hypotheses. What is beta (ß) error used to measure? #3. In the following studies, state whether you would use a one-sample t test or a two-independent-sample t test....
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample vari...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
Holding all else equal (e.g., sample size, effect size), will an independent-samples t test or a...
Holding all else equal (e.g., sample size, effect size), will an independent-samples t test or a repeated-measures t test result in more statistical power? A) Independent Samples T-Test B) Repeated Measures T-Test
Below are several research scenarios. Indicate which set of statistical analyses (e.g., ANOVA, independent samples t...
Below are several research scenarios. Indicate which set of statistical analyses (e.g., ANOVA, independent samples t test, correlated samples t test, correlation, chi-square, regression) should be used to analyze the data collected in study, and explain why that statistical test should be used (2 points each; 8 points total). A researcher developed a video designed to enhance creative writing. Fifty high school students were asked to participate in the study. Twenty-five were randomly assigned to group A and the other...
6. The most basic statistical test that measures group difference is the T-test. 7. One-way analysis...
6. The most basic statistical test that measures group difference is the T-test. 7. One-way analysis of variance (ANOVA) only determines the significance of group differences and does not identify which groups are significantly different. 8. One-way analysis of covariance (ANCOVA) is similar to ANOVA but additionally controls for a variable that may influence the DV. 9. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. 10. Factorial analysis of...
Both For the chi Square test of independence, ANOVA, and Regression, there are two variables. Match...
Both For the chi Square test of independence, ANOVA, and Regression, there are two variables. Match the data types to the statistical method: Question 9 options: 123 Chi Square Test for Independence 123 Regression 123 ANOVA 1. Categorical – Categorical 2. Categorical – Numerical 3. Numerical – Numerical
please answer questions clearly
Part 3: Which Test Should You Use? scenarios. Your task is to determine which statistical test is most appropriate a), and to explain why you chose that statistical test (part b). Consider things variables, scores vs. frequencies, number of groups, and what we know (or don not Below are 8 research Directions: Below are8 to test each research like continuous vs. nominal know) about various populations Your which statistical test to use. There are 12 options...
3 and 4
3. Indicate df for the following statistical tests: a. One sample t test b. Independent samples t test (same N's in both groups) c. Independent samples t test (different N's) d. Paired samples t test e. Testing whether correlation coefficient is different from 0. 4. Assume you have two independent samples that you wish to compare. One sample has an N of 14 and the other has an N of 10. For a = .05, two tailed...
Important instructions: For all situations requiring a hypothesis test (z test, one-sample t test, one-sample variance test or two-sample t test), you must 1. Choose the appropriate test based on the information you are given 2. State null and alternative hypotheses 3. Choose a one or two tailed test and explain why you chose that test 4. Calculate the appropriate test statistic, showing all work neatly. This includes calculations of means, standard deviations, etc. 5. Draw the appropriate conclusions (i.e.,...
6. The most basic statistical test that measures group difference is the T-test. 7. One-way analysis of variance (ANOVA) only determines the significance of group differences and does not identify which groups are significantly different. 8. One-way analysis of covariance (ANCOVA) is similar to ANOVA but additionally controls for a variable that may influence the DV. 9. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. 10. Factorial analysis of...
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