The stopping distances of a random sample of nf=16 Fire-Hawk compact cars have a mean of xf=57.2 and standard deviation of sf=4.81. The stopping distances of a random sample of nl=14 Lance compact cars have a mean of xl=62.7 and standard deviation of sL=7.56 feet. Here, each stopping distance is measured from a speed of 35mph. Test whether the variance of the stopping distances of population of all the fire-Hawk cars is less than the variance of the stopping distances of population of all lance cars.
State the hypothesis |
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Decide the level of significance α |
=0. 05 |
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Take a sample and calculate your test statistic |
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Critical value rule |
Reject H0 if _____________________ |
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P-value rule |
Reject H0 if___________________ |
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b) Attach your MegaStat output for this problem, here (Take a snapshot and put it here)
c) Interpret the 95% confidence interval for uF-uL that is reported in your Megastat output.
If you could post Megastat output too it would be helpful! Just snip it!
Hypotheses are :
Test is right tailed.
Test statistics wil be
Degree of freedom of numerator is df1=14-1=13 and degree of freedom of denominator is df2=16-1=15.
The critical value of F is: 2.448
Rejection region:
If F > 2.448, reject H0
Since F lies in the rejection region so we reject the null hypothesis. That is we can conclude that the variance of the stopping distances of population of all the fire-Hawk cars is less than the variance of the stopping distances of population of all lance cars.
The p-value is: 0.0484
b)
Following is the output of t test:
Hypothesis Test: Independent Groups (t-test, unequal variance) | ||||||
Fire Hawk | Lance cars | |||||
57.2 | 62.7 | mean | ||||
4.81 | 7.56 | std. dev. | ||||
16 | 14 | n | ||||
21 | df | |||||
-5.5000 | difference (Fire Hawk - Lance cars) | |||||
2.3513 | standard error of difference | |||||
0 | hypothesized difference | |||||
-2.34 | t | |||||
.0293 | p-value (two-tailed) | |||||
-10.3897 | confidence interval 95.% lower | |||||
-0.6103 | confidence interval 95.% upper | |||||
4.8897 | margin of error |
c)
The 95% confidence interval for uF-uL is (-10.39, -0.61).
Since confidence interval does not contain zero so there is a signficant difference between the population means.
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