In: Advanced Math
Do various occupational groups differ in their diets? A British study of this question compared 85 drivers and 65 conductors of London double-decker buses. The conductors' jobs require more physical activity. The article reporting the study gives the data as "Mean daily consumption ± (se)." Some of the study results appear below. Drivers Conductors Total calories 2820 ± 42 2840 ± 48 Alcohol (grams) 0.23 ± 0.09 0.44 ± 0.05 What justifies the use of the pooled two-sample t test? The similarity of the sample standard deviations suggests that the population standard deviations are likely to be similar. The similarity of the sample means suggests that the population standard deviations are likely to be different. The similarity of the sample means suggests that the population standard deviations are likely to be similar. The similarity of the sample standard deviations suggests that the population standard deviations are likely to be different. Is there significant evidence at the 5% level that conductors consume more calories per day than do drivers? Use the pooled two-sample t test to obtain the P-value. (Give answers to 3 decimal places.) t = df = P-value =
a) What justifies the use of the pooled two-sample t test?
The similarity of the sample standard deviations suggests that the population standard deviations are likely to be similar.
b) Summary data
Drivers | Conductors | |
Sample size | 85 | 65 |
Mean Calories | 2820 | 2840 |
Std Error | 42 | 48 |
Std. Dev | 387.22 | 386.99 |
Std.Dev = Std.error*sqrt(n)
Two-Sample T-Test and CI
Method
μ₁: mean of Drivers |
µ₂: mean of Conductors |
Difference: μ₁ - µ₂ |
Equal variances are assumed for this analysis.
Descriptive Statistics
Sample | N | Mean | StDev |
SE Mean |
Sample 1 | 85 | 2820 | 387 | 42 |
Sample 2 | 65 | 2840 | 387 | 48 |
Estimation for Difference
Difference |
Pooled StDev |
95% Upper Bound for Difference |
-20.0 | 387.1 | 85.6 |
Test
Null hypothesis | H₀: μ₁ - µ₂ = 0 |
Alternative hypothesis | H₁: μ₁ - µ₂ < 0 |
T-Value | DF | P-Value |
-0.314 | 148 | 0.377 |
since p-value is more than 0.05 we fail to reject null hypothesis, there is no significant evidence to conclude that conductors consume more calories per day than do drivers.