A social researcher wants to test the hypothesis that college students who drink a lot while text messaging have more key strokes than those who do not drink while they text. The social researcher studies 50 drinking texters and 50 nondrinking texters
The average key strokes for the drinking texters was 142 with a standard deviation of 7.45. The average key strokes for the nondrinking texters was 134 with a standard deviation of 6.81.
1. What is the research hypothesis?
2. What is the null hypothesis?
3. Calculate t.
4. What are your degrees of freedom?
5. Are your results significant, and if so, at what level?
6. What are your conclusions about the null hypothesis?
1. College students who drink will have more key strokes texting than those who are
sober, or µ nondrinking texters < µ drinking texters.
2. Drinking will not cause college students to have more key strokes texting than
those who are sober, or µ drinking texters < µ nondrinking texters.
3. t = 5.55
4. 50 + 50 - 1 = 98
5. Yes, at the .0005 level (5.56 > 3.460, the intersection of 60 df and .0005 in Table C).
6. We are able to reject the null hypothesis. There appears to be a relationship
between drinking and texting. College students who drink have more key strokes while texting than those who are sober.
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