A researcher wishes to learn if a certain drug affects the reaction time of pilots to air trafficcontrol instructions. She obtained a sample of pilots and randomly divided them into two groups.She then had one pilot group take the drug and used the second group as a control. Pilots weregiven headsets and given commands from an air traffic controller. The reactions times for eachgroup of pilots is below.The researcher is interested in learning if the drug reduces the reaction time. Her hypothesis is:The mean reaction time in group A will be less than the mean in group B.Group A Treated with DrugGroup BControl- Not Treated0.72 0.710.68 0.830.69 0.890.66 0.570.57 0.680.66 0.740.70 0.750.63 0.670.71 0.800.73 0.78A t-test can be used to test the probability that the two means do not differ. The alternative is thatthe reaction times from the group treated with the drug will not be less than that from the controlgroup.This is a one-tailed test because the researcher is interested in if the drug decreased reactiontime. She is not interested in if the drug changed reaction time.
- justify type of t-Test used
- justify type of test (directional/non-directional)
- identify alpha level used to test the null hypothesis
- Report descriptive statistics
<insert descriptive statistics table>
<discuss high points of statistical outcomes>
- Assess normality assumption
<insert histogram figure>
<discuss distributional symmetry>
- Assess equal variance assumption
<report and interpret results of Levene?s test>
<state null hypothesis>
<insert t-Test table>
<interpret results using the p-value>
??????????? decision: (reject/retain null hypothesis]
This question was answered on: Sep 18, 2020
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