6. The t test for two independent samples - Two-tailed exampleAa Aa"Bullying," according to noted expert Dan Olweus, "poisons the educational environment and affects the learning ofevery child." Bullying and victimization are evident as early as preschool, with the problem peaking in middle school.Suppose you are interested in the emotional well-being of not only the victims but also bystanders, bullies, and thosewho bully but who are also victims (bully-victims). You decide to measure anxiety in a group of victims and a groupof bully-victims using a 26-item, 3-point anxiety scale. Assume scores on the anxiety scale are normally distributedand that the variances of the anxiety scores are the same among victims and bully-victims.The group of 30 victims scored an average of 21.5 with a sample standard deviation of 10 on the anxiety scale. Thegroup of 27 bully-victims scored an average of 25.8 with a sample standard deviation of 9 on the same scale. You donot have any presupposed assumptions about whether victims or bully-victims will be more anxious, so youformulate the null and alternative hypotheses as:Ho: Hvictims - Pbully-victimsH1: Hvictims - Hbully-victims + 0You conduct an independent-measures t test. Given your null and alternative hypotheses, this is atest. To use the Distributions tool to find the critical region, you first need to set the degrees of freedom. The degreesof freedom is The critical t-scores that form the boundaries of the critical region for a = 0.01 are ±In order to calculate the t statistic, you first need to calculate the standard error under the assumption that the nullhypothesis is true. In order to calculate the standard error, you first need to calculate the pooled variance. The pooledvariance is s:The standard error is s(M1 - M2)=The t statistic isThe t statisticin the critical region. Therefore, the null hypothesis is. Youconclude that victims have a different mean anxiety score than bully-victims. Thus, it can be said thatthese two means aredifferent from one another.

Name: 6. The t test for two independent samples - Two-tailed exampleAa Aa"B
Uploaded: 2024-03-20T07:07:12.000Z
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Description: 6. The t test for two independent samples - Two-tailed exampleAa Aa"Bullying," according to noted expert Dan Olweus, "poisons the educational environment and affects the learning ofevery child." Bullying and victimization are evident as early as pre

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6. The t test for two independent samples - Two-tailed exampleAa Aa&#34;Bullying,&#34; according to noted expert Dan Olweus, &#34;poisons the educational environment and affects the learning ofevery child.&#34; Bullying and victimization are evident as early as preschool, with the problem peaking in middle school.Suppose you are interested in the emotional well-being of not only the victims but also bystanders, bullies, and thosewho bully but who are also victims (bully-victims). You decide to measure anxiety in a group of victims and a groupof bully-victims using a 26-item, 3-point anxiety scale. Assume scores on the anxiety scale are normally distributedand that the variances of the anxiety scores are the same among victims and bully-victims.The group of 30 victims scored an average of 21.5 with a sample standard deviation of 10 on the anxiety scale. Thegroup of 27 bully-victims scored an average of 25.8 with a sample standard deviation of 9 on the same scale. You donot have any presupposed assumptions about whether victims or bully-victims will be more anxious, so youformulate the null and alternative hypotheses as:Ho: Hvictims - Pbully-victimsH1: Hvictims - Hbully-victims + 0You conduct an independent-measures t test. Given your null and alternative hypotheses, this is atest. To use the Distributions tool to find the critical region, you first need to set the degrees of freedom. The degreesof freedom is The critical t-scores that form the boundaries of the critical region for a = 0.01 are ±In order to calculate the t statistic, you first need to calculate the standard error under the assumption that the nullhypothesis is true. In order to calculate the standard error, you first need to calculate the pooled variance. The pooledvariance is s:The standard error is s(M1 - M2)=The t statistic isThe t statisticin the critical region. Therefore, the null hypothesis is. Youconclude that victims have a different mean anxiety score than bully-victims. Thus, it can be said thatthese two means aredifferent from one another.

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Given Information: 
Given information regarding two sample one for victims and another for…