Data with a t-test or a non-parametric procedure

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Reference no: EM132495310

Which drug slows reaction time the most? The following are the reaction times (in milliseconds) for randomly selected subjects who took either Drug A or Drug B.

Drug A: 1.96, 2.24, 1.71, 2.41, 1.62, 1.93,

Drug B: 2.11, 2.43, 2.07, 2.71, 2.50, 4.84, 2.88

1. These data represents:

(a) two independent samples, but it would have been better to collect data for matched pairs, since reaction times can vary greatly by individual.

(b) matched pairs, but it would have been better to collect data for two independent samples, since reaction times can vary greatly by individual.

(c) quantitative data, but it would have been better to collect categorical data on whether each subject reacted more slowly under Drug A or B.

(d) categorical data, but it would have been better to collect quantitative data on whether each subject reacted more slowly under Drug A or B.

2. We could analyze this data with a T-test or a non-parametric procedure. When choosing which procedure works best here it's important to note that:

(a) there are more observations for one treatment than the other

(b) the variances of the two groups are quite different

(c) there is an outlier in the data

(d) all of the above

3. If we conduct the Wilcoxon Rank-Sum test on this data, the sum of ranks for drug B is:

(a) 25

(b) 66

(c) 28

(d) 21

4. What it is the best interpretation :

(a) There are significant differences in the mean reaction time for Drug A and B.

(b) There are significant differences in the median reaction time for Drug A and B.

(c) Reaction times are slower for Drug B, on average.

(d) Reaction times are slower for Drug B, overall.

Reference no: EM132495310

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