Question #40842

A town-planning sub-committee in Tshwane wanted to know if there is any difference in the mean travelling time to work of car and Train commuters. They there carried out a survey amongst car and bus commuters and with the following sample statistics:
Car Commuters
Train Commuters
X1= 29.6 min
X2 = 25.2 min
S1= 5.2 min
S2= 2.8 min
N1=22 drivers
N2=36 passengers
4.1 Test the hypothesis at the 5% significance level that it takes car commuters to get to work earlier than Train commuters.
1

Expert's answer

2015-01-20T09:09:24-0500

Answer on Question #40842 – Math – Statistics and Probability

A town-planning sub-committee in Tshwane wanted to know if there is any difference in the mean travelling time to work of car and Train commuters. They there carried out a survey amongst car and bus commuters and with the following sample statistics:

Car Commuters

Train Commuters


X1=29.6 minX _ {1} = 29.6 \text{ min}X2=25.2 minX _ {2} = 25.2 \text{ min}S1=5.2 minS _ {1} = 5.2 \text{ min}S2=2.8 minS _ {2} = 2.8 \text{ min}N1=22 driversN _ {1} = 22 \text{ drivers}N2=36 passengersN _ {2} = 36 \text{ passengers}


4.1 Test the hypothesis at the 5% significance level that it takes car commuters to get to work earlier than Train commuters.

Solution

The population variances are not assumed to be equal. The population variances are unknown, N1N_{1} and N1N_{1} are small, so we need to use t-test.


H0:μ1=μ2;Hα:μ1<μ2.H _ {0}: \mu_ {1} = \mu_ {2}; H _ {\alpha}: \mu_ {1} < \mu_ {2}.


The test statistic is


t=X1X2S12N1+S22N2=29.625.25.2222+2.8236=3.66.t = \frac {X _ {1} - X _ {2}}{\sqrt {\frac {S _ {1} ^ {2}}{N _ {1}} + \frac {S _ {2} ^ {2}}{N _ {2}}}} = \frac {29.6 - 25.2}{\sqrt {\frac {5.2 ^ {2}}{22} + \frac {2.8 ^ {2}}{36}}} = 3.66.


Number of degrees of freedom is smaller of N11N_{1} - 1 and N21N_{2} - 1: df=221=21df = 22 - 1 = 21.

For df=21df = 21, the tabled value is tα=t0.05=1.72t_{\alpha} = t_{0.05} = 1.72. The rejection region: t<1.72t < -1.72. The observed value of the test statistic is t=3.66>1.72t = 3.66 > -1.72. Therefore, at the α=0.05\alpha = 0.05 level of significance the null hypothesis H0H_0 is accepted and we conclude that the claim (it takes car commuters to get to work earlier than Train commuters) is not substantiated by the data.

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