Sara believes that a cup of coffee makes you drive better in the morning. She se

Question

Sara believes that a cup of coffee makes you drive better in the morning. She separates a group of 100 participants into two groups of 50. Both groups are tested on a driving test at 7am. One group receives coffee before the test and the other receives no coffee before the test. The test measures how fast they can drive through a set of cones without making a mistake. They can get a score of -100 to +100 on the driving test. Which statistic should Sara use to analyze the data?

    a. Chi-Square

    b. an ordinal statistic

    c. t-test

    d. One-Way ANOVA

    e. Two-Way ANOVA

Explanation / Answer

Since our objective is to find out IF a cup of coffee makes YOU drive better in the morning, we have to pay LESS attention on individual outliers. That is, a person showing HUGE increase in attention span due to coffee, should NOT neutralize five participants who show little improvement.

This means that individual ranks should be more important than individual DIFFERENCES (also, variance).

Thus t-test & both ANOVA’s are already out of the question.

Now, ordinal statistic is used only when distances between the categories is not known, which IS KNOWN in this case.

So our answer is

a.Chi Square.

I hope it was Helpful :)

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