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Quantative Methods - Research Paper Example

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A lot of polls and surveys are done daily in the US to evaluate and study different fields including music, politics, marketing, health and many more. Different measures of spread are applied by the research company to evaluate statistics and come up with a logical…
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Quantative Methods
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Quantitative data analysis A lot of polls and surveys are done daily in the US to evaluate and study different fields including music, politics, marketing, health and many more. Different measures of spread are applied by the research company to evaluate statistics and come up with a logical conclusion. Introduction We set out to evaluate different polls or survey conducted by different international agents and we analyzed their conclusion and based on their data collected. We studied the data collected by Gallup, AIU library and Pew Research Center.

Entertainment survey A random survey was carried out by Bloomberg 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 curbing the menace. Political poll 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 highlighting the strengths and weakness of current Obama administration on various sectors of government. The government can use the data to improve the services to US citizens, who are demanding more accountability in the office. Also the data can be used by the Republicans in campaigning in 2016 elections by showing the weakness of Democrats government to the electorate.

General survey A national survey was carried out in US with the respondents randomly selected to be sampled. A sample of N = 1501 was surveyed using telephone interviews, with a population proportion n = 600 landline users and n = 901 of cellphone users (Pew Research Center, 2014). A sample error of ± 2.9% was taken into account, with the respondents being of 18 years and above. The biasness challenges experienced by Gallup in above example will have similar effects here too as sample was conducted on telephone.

The data is both qualitative and quantitative, with media using the data in informing the public the employments trends in recent history giving the job seekers an insight of job market. The politicians from the left wing (GOP) can use the data to campaign against the democrats in upcoming elections and convince different constituents that democrats are failing to create jobs or people are losing jobs. Government terrorism security survey. 1. Are you satisfied with the government on the foreign policy on terrorism? 1) Very dissatisfied 2) Dissatisfied 3) Neutral 4) Satisfied 5) Very satisfied 2.

Can you support US government if it was to deploy troops to fight on ISIS? 1) Disagree 2) Agree 3) Strongly disagree 4) Neutral 3. Do you feel the government is helping in fighting global terrorism?  Yes  No  I don’t know. 4. Do you feel safe in America from terrorism attacks?  Yes  No  I don’t know 5. Do you feel Americans living abroad in Africa , Asia or Middle East are safe terror attacks?  Yes  No  I don’t know 6. Please check the box to indicate your gender?

 Male  Female  Prefer not to say 7. Please indicate your age group  18 – 25 years  26 – 35 years  36 – 45 years  46 – 55 years  Above 55 8. Please indicate the party affiliation you belong  Republican  Democrats  Neutral Bibliography Channick, R. (2014, June 8). 40% of homes now without a landline. Retrieved from Chicago Tribune: http://www.chicagotribune.com/business/breaking/chi-landlines-survey-20140708-story.html Duhigg, C. (2006, August 09). THE ENTERTAINMENT POLL.

Retrieved from Los Angeles Times: http://search.proquest.com/docview/422100598?accountid=144459 Newport, F. (2015, April 17). Managing Government Key Part of a Presidents Image. Retrieved from Gallup: http://www.gallup.com/poll/182489/managing-government-key-part-president-image.aspx?utm_source=Politics&utm_medium=newsfeed&utm_campaign=tiles Pew Research Center. (2014, October). Mobile Technology Fact Sheet. Retrieved from Pew Research Center: http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/ Pew Research Center.

(2014, September 4). Views of Job Market Tick Up, No Rise in Economic Optimism. Retrieved from Pew Research Center: http://www.people-press.org/2014/09/04/views-of-job-market-tick-up-no-rise-in-economic-optimism/ Ron Larson, B. F. (2015). Elementary statistics : picturing the world. Boston: Pearson Education, Inc. Waters, D. (2011). Quantitative methods for business. London: Pearson Education Limited.

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