Select THREE benefits of using within-subjects t-test compared to between-subjects t-test.O No answer text provided.Increases variance for participants.O Study two different groups of people in one study.O Fewer participants are required.O No answer text provided.O Study change over time.O.Eliminates individual differences.O More participants are required.

THREE benefits of using within-subjects t-test compared to between subjects t-test.

Answered: Select THREE benefits of using…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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answer multiple choice
Please show me the solution step by step, not to choose the correct answer only
Which of the following is an example of a two-way ANOVA test? Group of answer choices Comparing the number of hours that freshman and seniors study during a semester. Analyzing the number of hours that freshman, sophomores, juniors, and seniors study in a semester as well as the number of hours of sleep each group gets at night. Comparing the number of hours of sleep for freshman, sophomores, juniors, and seniors. Studying the number of hours of sleep for freshmen, sophomores, and juniors. All of the above are two-way ANOVA problems
A researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?
Which of the following biases occurs when various groups in a study are assessed differently for an outcome? OA. Selection OB. Reporting OC. Detection OD. Attrition
A researcher is studying the effects of his newly created lens on vision. He samples 9 people with poor vision and measures their visual distance (in feet) with the lens and then without the lens. Did people’s vision with the lens differ from their vision without? Participant # With Lens Without Lens 1 8 14 2 6 17 3 9 12 4 7 11 5 5 12 6 9 18 7 8 13 8 9 7 9 7 13 What kind of analysis will you use? Why? State the null and alternative hypothesis. Check your assumptions. Explain why each of them are or are not met. Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s). Using R, calculate your test statistic and interpret the results of your test. (Don’t forget your 95% confidence interval and screenshots of your work!) What do you conclude about the null hypothesis? Are there significant differences?
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men’s and woman’s volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant difference between groups?
Which of the following is a measure of variability? - Mean - Median - Variance - Dependent variables
Which of the following accurately describes the effect of increasing the sample size? O Increases the standard error and has no effect on the risk of a Type l er Decreases the risk of a Type l error and has no effect on the standard error O Decreases the standard error and has no offect on the risk of a Type l error O Increases the risk of a Type l error and has no effect an the standard erro
Course/Year 1. Brian, a college administrator, claimed that there was no difference in averages of students coming from three nearby schools A, B, and C. Use the following data to test his claim with a 1% significance level. Ex A-420 2x² 253 Ex B 340 SANOVA Table: 4 Source of Variation Between - column Within - column Total A A. Ho: B. a: 0.01 C. B C 3 _M₁ = M₁₂₁ = M²3 Sum of Squares 2.25 Compute for sum of squares D. Compute for degrees of freedom 84 88 88 E. Compute for mean sum of squares F. Compute for F-value 82 83 80 df 2 Ha: STUDENTS 89 82 89 Mean Sum of Squares 85 83 80 F-value Mr & Mr & M²₂ n₁ = √=n²₁₂₁ = 3 - N = 12 7 Critical Value / Tabular Value Decision
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