A researcher is interested in the amount of sleep an individual receives after consuming a sleeping aid (Melatonin, Valerian root, and Placebo). The researcher randomly selects individuals into either group. However, some individuals drop out of the study which results in unequal sample sizes. State the conclusion of these findings.
A researcher is interested in the amount of sleep an individual receives after consuming a sleeping aid (Melatonin, Valerian root, and Placebo). The researcher randomly selects individuals into either group. However, some individuals drop out of the study which results in unequal sample sizes. State the conclusion of these findings.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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A researcher is interested in the amount of sleep an individual receives after consuming a sleeping aid (Melatonin, Valerian root, and Placebo). The researcher randomly selects individuals into either group. However, some individuals drop out of the
study which results in unequal
State the conclusion of these findings.

Transcribed Image Text:The table presents data from a study comparing the effects of Melatonin, Valerian, and a Placebo. Below is a description of the variables and the data for each group:
**Melatonin:**
- n (sample size) = 6
- M (mean) = 14
- T (total sum of scores) = 84
- SS (sum of squares) = 60
**Valerian:**
- n (sample size) = 10
- M (mean) = 13
- T (total sum of scores) = 130
- SS (sum of squares) = 90
**Placebo:**
- n (sample size) = 4
- M (mean) = 9
- T (total sum of scores) = 36
- SS (sum of squares) = 37
**Combined Data:**
- N (total sample size) = 20
- G (grand total of all scores) = 250
- ΣX² (sum of squared values) = 3377
Each row in the table represents a different statistical measure for the three groups involved in the study, designed to analyze and compare the effects of the interventions. The data allows for the computation of various statistical analyses, like ANOVA, to determine if the differences in means are statistically significant.
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