# Hypothesis Testing: Comparing Treatment and Control Groups### IntroductionThis analysis involves testing the hypothesis that the treatment group will have higher scores on the dependent variable (DV) compared to the control group.### Group Statistics| IV | N | Mean | Std. Deviation | Std. Error Mean ||----------|----|--------|----------------|-----------------|| DV | | | | || treatment| 12 | 10.9517| 1.31960 | .38094 || control | 12 | 9.6392 | 1.87962 | .54260 |The table above provides descriptive statistics for the treatment group and the control group. It includes the number of participants (N), the mean score, the standard deviation, and the standard error of the mean for each group.### Independent Samples Test#### Levene's Test for Equality of Variances| | F | Sig. ||---------|------|------|| DV | 2.457| .131 |- **Levene's Test** assesses the equality of variances between the groups. A significance value (Sig.) greater than 0.05 indicates equal variances.#### t-test for Equality of Means| | t | df | Sig. (2-tailed) ||-----------------------------------|------|--------|-----------------|| Equal variances assumed | 1.980| 22 | .060 || Equal variances not assumed | 1.980| 19.724 | .062 |- **t-test Results** show the calculated t-value, degrees of freedom (df), and the 2-tailed significance value.- When equal variances are assumed, the Sig. (2-tailed) is 0.060, slightly above the typical 0.05 threshold, indicating marginal non-significance.- When not assuming equal variances, the Sig. (2-tailed) is 0.062, also slightly above 0.05.### ConclusionThe results show marginal evidence against the null hypothesis, suggesting a potential difference in scores where the treatment group may have higher scores than the control group. However, since p-values are slightly above the common cut-off of 0.05, the result is not statistically significant at the conventional level. Further research may be needed to confirm

Name: # Hypothesis Testing: Comparing Treatment and Control Groups### Intro
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Description: # Hypothesis Testing: Comparing Treatment and Control Groups### IntroductionThis analysis involves testing the hypothesis that the treatment group will have higher scores on the dependent variable (DV) compared to the control group.### Group Statist

This is a test for difference in means of two samples. It is given by Student's t-distribution by…

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18. Using the data below, test the hypothesis that the treatment group will have higher scores on the DV than will the control group. Group Statistics IV N Mean Std. Deviation Std. Error Mean DV treatment 12 10.9517 1.31960 38094 control 12 9.6392 1.87962 .54260 Independent Samples Test LEKANE'S Test for Equality of Variances t-test for Equality of Means F Sig. df Sig. (2-tailed) DV Equal variances 2.457 .131 1.980 22 .060 assumed Equal variances not 1.980 19.724 .062 assumed

18. Using the data below, test the hypothesis that the treatment group will have higher scores on the DV than will the control group. Group Statistics IV N Mean Std. Deviation Std. Error Mean DV treatment 12 10.9517 1.31960 38094 control 12 9.6392 1.87962 .54260 Independent Samples Test LEKANE'S Test for Equality of Variances t-test for Equality of Means F Sig. df Sig. (2-tailed) DV Equal variances 2.457 .131 1.980 22 .060 assumed Equal variances not 1.980 19.724 .062 assumed

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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