1.State the hypothesis a.H0: b.H1: 2.Locate the critical region a.df = b.The critical value of t = 3.Compute the statistic a.standard error (sMD) = b.t = c. Cohen's d = d. r2= e.Confidence intervaI:
College athletes, especially males, are often perceived as having very little interest in the academic side of their college experience. One common problem is class attendance. To address the problem of class attendance, a group of researchers developed and demonstrated a relatively simple but effective intervention (Bicard, Lott, Mills, Bicard, & Baylot-Casey, 2012). The researchers asked each athlete to text his academic counselor “in class” as soon as he arrived at the classroom. The researchers found significantly better attendance after the students began texting. In a similar study, a researcher monitored class attendance for a sample of n = 16 male athletes during the first three weeks of the semester and recorded the number of minutes that each student was late to class. The athletes were then asked to begin texting their arrival at the classroom and the researcher continued to monitor attendance for another three weeks. For each athlete, the average lateness for the first three weeks and for the second three weeks were calculated, and the difference score was recorded. The data showed that lateness to class decreased by an average of MD= 21 minutes with a standard deviation of 14 when the students were texting.
1.State the hypothesis
a.H0:
b.H1:
2.Locate the critical region
a.df =
b.The critical value of t =
3.Compute the statistic
a.standard error (sMD) =
b.t =
c. Cohen's d =
d. r2=
e.Confidence intervaI:
4.Make the decision.
a.Did you reject or retain the null?
b.Is there a significant effect?
c.State the findings in APA style. For example, the results indicate that the IV has a significant effect on the DV, t (df) = #, p < .05, d = #.
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