00:01
Once again, welcome to a new problem.
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This time, we're dealing with inferential statistics.
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We're dealing with inferential statistics.
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And when it comes to inferential statistics, we have two branches.
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We have hypothesis testing.
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And of course, we have confidence interval.
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So we have both hypothesis testing and confidence interval.
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We have hypothesis testing for proportions and we have hypothesis testing for means and under means we have a one sample t test and we have two sample t test and these are both dependent and independent so we have both dependent and independent samples and so we also have an anova remember anova is the analysis of variance and this one compares two or more independent groups so we're looking at two or more independent groups and we have a problem and in this particular problem we're looking at three different traffic routes.
01:44
So we're looking at three different traffic routes and we want to test for mean driving.
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Time.
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We want to test for mean driving times.
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And these three routes are reflected in the table.
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So route one.
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We have route two.
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And we have route three.
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So we have 30, 32, 27, 35.
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We have 27.
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29, 28, 136, we have 16, 41, we have 22, we have 31, and so use an over, so use an over, which is the analysis of variance to determine statistical significance statistical significance of the difference of the difference in driving times.
03:26
Alpha is .01.
03:33
So you want to determine the now hypothesis.
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You also want to determine the alternative hypothesis.
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You want to get the f value and the p value.
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And then of course determine if a post hoc test is needed.
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So we want to see if we do need a post hoc test.
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So the first thing we're going to do, we're going to run a one way and over and we can use excel on minutub...