The source depicts the results of a fictional study investigating whether the number of hours of sleep a person gets varies with his or her gender(male,female) and with the number of energy drinks that he or she consumes in a day. Equal numbers of men and women were randomly assigned to drink either 0, 1, or 2 energy drinks during the course of a day and then record the number of hours they slept that night. Table: Coffee and Sleep Source SS df MS F Gender 0.250 1 0.250 0.283 Energy Drinks 81.556 2 40.778 46.180 Gender X Drinks 2.667 2 1.330 1.510 Within 26.500 30 0.893 Total 110.972 35 Using a p level of 0.05, what are the significant effects? 1. There is a main effect of gender and interaction between gender and the number of energy drinks. 2. None of the effects are significant. 3. There is a main effect of the number of energy drinks and no other effects. 4. There is a main effect of the number of energy drinks and an interaction between gender and number of energy drinks.
The source depicts the results of a fictional study investigating whether the number of hours of sleep a person gets varies with his or her gender(male,female) and with the number of energy drinks that he or she consumes in a day. Equal numbers of men and women were randomly assigned to drink either 0, 1, or 2 energy drinks during the course of a day and then record the number of hours they slept that night.
Table: Coffee and Sleep
Source SS df MS F
Gender 0.250 1 0.250 0.283
Energy Drinks 81.556 2 40.778 46.180
Gender X Drinks 2.667 2 1.330 1.510
Within 26.500 30 0.893
Total 110.972 35
Using a p level of 0.05, what are the significant effects?
1. There is a main effect of gender and interaction between gender and the number of energy drinks.
2. None of the effects are significant.
3. There is a main effect of the number of energy drinks and no other effects.
4. There is a main effect of the number of energy drinks and an interaction between gender and number of energy drinks.
The P-value for the main effect gender is obtained by using Excel.
The P-value is obtained Excel function “=FDIST(x, degrees of freedom1, degrees of freedom2)”.
Excel output:
From the output, the P-value for the main effect gender is 0.59866.
The P-value for the main effect energy drinks is obtained by using Excel.
Excel output:
From the output, the P-value for the main effect energy drinks is 0.000.
The P-value for the interaction is obtained by using Excel.
Excel output:
From the output, the P-value for the interaction is 0.2372.
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