Statistics Coursework Essay Example | Topics and Well Written Essays - 1000 words

Statistics Coursework - Essay Example t in this study, there is a bias when it comes to the representation of gender in such a way that only 5 females were selected and participants were only restricted to university students ages between 18 and 25 years old. Devane et al (2004) noted in their study that health care researchers should consider carefully the inherent aspect to estimate the sample size of the study. This consideration is important to avoid possible errors in the study. Inappropriate techniques employed by researchers provide the risk of misinterpreting the findings due biased samples. The previous research study was restricted by time, sample size and volunteers, it is therefore necessary to use a large sample size population composed of 200 male and female populations (100 male and 100 female). The test population should be randomly selected. To equally distribute the test population and to avoid any biases, the population should include 50 female ranging from 18 to 49 years of age and 50 female population ages 50 years old and above as well as 50 male population ranging from 18 t0 49 years of age and 50 male population ages 50 years old and above. The conclusion of the research study will be greatly affected if there is a big difference in proportion than the one that is used in the power calculation. As the power increases, the chances to have an error will decrease. Hence, studies with bigger difference are statistically significant. In contrast, studies having smaller difference may not be statistically significant. In a typical manner, research design evaluations must have an 80% - 90% power, and this would mean that the data gathered and the statistical method that would be used allows one to conclude that the intervention employed by the researcher is effective. Moreover, it was noted that the larger the sample size, the larger is the power and the variation in the outcome measure will be less (Larsson 2001). The test population who will volunteer for the study are the locals