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Using data to compare a sample to the whole population or another targeted sample of people can help researchers make predictions about future behavior or phenomena. Comparisons and predictions such as these can answer research questions and can make an argument or statement more persuasive. When there are two groups to compare, tools such as the one-sample t-test and the two-sample t-test allow researchers to make such predictions and comparisons.
This application will allow you to further practice hypothesis testing by using a t-test to compare scores from two samples in order to determine if results are statistically significant. Download the data set that you will use for this assignment from the Weekly Data Set forum found in the Discussions area of the course navigation menu. Be sure to watch this week’s instructional video in the introduction or Learning Resources folder before beginning your Application Assignment.
Scenario: Imagine you are a researcher who is interested in studying whether sleep deprivation leads to increased reaction times (i.e., being slower) when driving. You randomly select a sample of 30 licensed drivers. Fifteen participants are randomly assigned to get 5 hours of sleep for three consecutive nights. The other 15 participants are randomly assigned to get 8 hours of sleep for three consecutive nights. For the purposes of this Assignment, assume that all participants sleep exactly the required amounts. After the third night, all participants take a driving simulation test that measures their reaction times.
SEE ATTATCHED DOCUMENT FOR DATA SET
To complete this Assignment, submit a response to each of the following. Use SPSS to determine if amount of sleep is related to reaction time.
Be sure to fully explain the rationale for your answer to each question, including evidence from the text and Learning Resources.
Provide an APA reference list.
Submit three documents for grading:
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