Compute the 95% confidence interval for the mean change in attendance for the population. Fail to reject or Reject null hypothesis

MATLAB: An Introduction with Applications
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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 M   = 21 minutes with SS = 2940 when the students were texting

 

t-critical = ±
t =     

Compute the 95% confidence interval for the mean change in attendance for the population.

Fail to reject or Reject null hypothesis

 
 
 
 
 
 
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