Person 1
The article delves into the perceptions that mobile cellphones create in college classrooms with regards to cheating, classroom policies, and cheating. Notably, the article explains the problems that are associated with the use of mobile phones in college classrooms. The article shows how a sample of faculty and students in a college were surveyed to show the extent in which the technology has been considered as the major distraction of classroom activities. Also, the article shows how students have opted to using technology to cheat during examination, and the approaches concerning policies that assist in restraining mobile phones from ringing and being used both by the students and the faculty members in the classroom. This article is obtained from communication education (July 2006) and is found in: http://dx.doi.org/10.1080/03634520600748573 .
Person 2
The individuals who participated in the study were 176. Among them, 59% were female while 41% were male. Amongst the participants 96 were students while 80 were faculty members from different academic disciplines at the university. It was discovered that 84% of those who participated in the research were mobile phone owners (92% of students and 75% of faculty members).
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So, n = 176, and p –hat (point estimation of population proportion) is 0.84. Therefore, this means that q- hat is 1 – 0.84 = 0.16
The critical value is 1.96 for a 95% CL
Thus, E = 1.96 x sqrt [(0.84) (0.16)] / (176) = 1.96 (0.0007653) = 0.001499
Therefore, this means that a 95% CL for the real estimate population amount would be (0.84 -0.001499) < p < (0.84 + 0.001499)
I anticipate for my classmates to check the work I have done, and similarly construct two new confidence intervals to be able to estimate the proportions of populations, but then using various confidence levels than the ones I have used (95%).
