Tuesday, August 13, 2019

Quantative Methods Research Paper Example | Topics and Well Written Essays - 750 words

Quantative Methods - Research Paper Example berg poll to study the music piracy in the US, and a sample of N = 1650 with a proportion sample of n = 839 representing a variable group of ages 12 to 17 and 811 representing sample = 811 (Duhigg, 2006). A sampling error which is the difference in population and the results indicated in the sample, E =  ± 3% (Ron Larson, 2015). The population selected to participate on the survey was 4466 and the respondent had to respond using internet, that’s an indication that the data left out a good proportion of candidates who could have qualified but did have internet access thus an avenue of biasness. Only 43% of the selected sample responded indicating that the survey had a poor turn-out thus the data can be biased. The questionnaire was mainly qualitative and from the data we the sponsors can use to lobby more funds to fight copy-wrongs in the US, media can use it to create awareness and the legal fraternity can use it to gauge the level of biting teeth the copyright laws in curbi ng the menace. A random survey was conducted in the US to evaluate the president’s image in relation to how he manages the government effectively. A sample N= 1015 was interviewed on telephone with a population proportion samples of 50% both on cellphones and landline with sampling error  ± 4% at 95% CI (Newport, 2015). The study focus on adults aged 18 and above, the survey does not indicate the number of the population sample selected and only gives the sample that qualified to be tested. The data can be biased as it did not cater the adults who don’t have telephone access, according to Pew Research Center (Pew Research Center, 2014), 10% of US adults of 18 years and older don’t have access to telephone and 40% of homes in the US don’t have access of landline (Channick, 2014). Further the respondent answering questions can be of below 18 years as there is no way to verify the age of the respondent thus biasness (Waters, 2011). The data was qualitative, media can use the data in

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