A researcher predicted that students will learn better if they attribute their performance to effortrather than natural ability. In one condition, a randomly selected group of sixth graders wrote an essay abouta time when they worked hard to reach a goal. In a second condition, a different randomly selected group ofsixth graders wrote about a skill they thought they were naturally good at. Afterwards, the students began anine-week social studies unit that concluded with an achievement test. Use the data below to conduct an1.appropriate statistical test (higher scores indicate higher achievement). Follow the 7 hypothesis testing stepsyou have been taught. Some of the steps have already been done for you.Wrote aboutWrote abouteffortnatural ability81.89M84.77405560601. Ho: There is no difference in the achievement scores of the students who wrote about effort and thosewho wrote about natural abilityMefort = HabilityHa: There is a difference in the achievement scores of the students who wrote about effort and those whowrote about natural abilityMeffort # Hability2. a = .053. We'll use at distribution with df= 118

For the given data perform t test for independent sample test

Answered: 1. A researcher predicted that students…

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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A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…
The effects of social skill training on a 29 year-old mentally retarded male adult were explored. The subject listened to typical social situations (such as getting a compliment or saying thank you) on audiotape and discussed the situations with a therapist. The subject's positive social verbal interactions were counted before the training, at three times during the training period, and at three times after the training had been completed. All counts were taken by observing the subject at a evening recreation time in the subject's group home. Results show that positive interactions increased during the training period but then rapidly decreased after training had stopped. Independent variable (construct): Levels (operational def): Organismic/Manipulated: B/W or W/I: Dependent variable (Construct & Operational def): Type of Hypothesis: Type of Statistic: Research Design:
In a study about learning styles, researchers used a group of 64 elementary school students who volunteered to be part of the study. The researchers gave each student a pre-test and based upon the results, they divided them into 32 pairs of similarly scoring students. School administrators then randomly assigned one student from each pair to mathematics instruction online while the other student received in-person instruction in a traditional classroom. At the end of the year, all 64 students received a mathematics assessment, measured on a 100-point scale. The researchers calculated the difference (in person −− online) in the mathematics assessment scores for each pair of students. The 32 differences had a mean of 15 and a standard deviation of 3.9 points. Construct and interpret a 95% confidence interval for the mean difference (in person −− online) in the mathematics assessment scores for all pairs of students like these who learn math either face-to-face or online.
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Here is the Statistics problem. Read this passage. What is the explanatory variable in this passage?
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