Question

A researcher is interested in looking at the effects of Gatorade consumption on energy use during exercise. To look at this, the researcher split subjects into three groups: No Gatorade, 2 pints of Gatorade, and 4 pints of Gatorade. Subjects were asked to exercise and VO2 max values were recorded. The researcher also was interested in looking at the differential effects of gender. The following data for 48 subjects was collected: Can someone do this in SPSS?

No Gatorade		2 Pints of Gatorade		4 Pints of Gatorade
Gender	VO2	Gender	VO2	Gender	VO2
Female	65	Female	70	Female	55
Female	70	Female	65	Female	65
Female	60	Female	60	Female	70
Female	60	Female	70	Female	55
Female	60	Female	65	Female	55
Female	55	Female	60	Female	60
Female	60	Female	60	Female	50
Female	55	Female	50	Female	50
Male	50	Male	45	Male	30
Male	55	Male	60	Male	30
Male	80	Male	85	Male	30
Male	65	Male	65	Male	55
Male	70	Male	70	Male	35
Male	75	Male	70	Male	20
Male	75	Male	80	Male	45
Male	65	Male	60	Male	40

Answer 1

Result:

Data is entered and labeled appropriately:

SPSS command used:

UNIANOVA Vo2 BY Gatorate Gender

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/PRINT DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=Gatorate Gender Gatorate*Gender.

SPSS output:

Descriptive Statistics
Dependent Variable:   Vo2
Gatorate	Gender	Mean	Std. Deviation	N
No	Female	60.6250	4.95516	8
Male	66.8750	10.32940	8
Total	63.7500	8.46562	16
2 Pints	Female	62.5000	6.54654	8
Male	66.8750	12.51784	8
Total	64.6875	9.91106	16
4 Pints	Female	57.5000	7.07107	8
Male	35.6250	10.83562	8
Total	46.5625	14.34326	16
Total	Female	60.2083	6.33815	24
Male	56.4583	18.50259	24
Total	58.3333	13.81232	48

Tests of Between-Subjects Effects
Dependent Variable:   Vo2
Source	Type III Sum of Squares	df	Mean Square	F	Sig.
Corrected Model	5479.167a	5	1095.833	13.197	0.000
Intercept	163333.333	1	163333.333	1967.025	0.000
Gatorate	3332.292	2	1666.146	20.065	0.000
Gender	168.750	1	168.750	2.032	0.161
Gatorate * Gender	1978.125	2	989.063	11.911	0.000
Error	3487.500	42	83.036
Total	172300.000	48
Corrected Total	8966.667	47
a. R Squared = 0.611 (Adjusted R Squared = 0.565)

To test the effect of Gatorate, calculated F=20.065, P=0.000 which is < 0.05 level of significance. The effect of Gatorate is significant.

To test the effect of Gender, calculated F=2.032, P=0.161 which is > 0.05 level of significance. The effect of Gender is not significant.

To test the interaction effect, calculated F=11.911, P=0.000 which is < 0.05 level of significance. The interaction effect is significant.