Survey Sample Size Essay Example for Free

Survey Sample Size EssayThis essay will bind two move oneness will discuss three different fall outs and the second will be a lot that was performed by the designer. The subjects of the follows will be Entertainment, Political, and General. We will analyze the panoramas that do not have the population that were surveyed. induction The entertainment survey will be a survey that was conducted by Universal UK, was conducted in the Britain, and is approximately the movies they have vivid memories pictures of in their mind. (Macnab, 2013) The Political survey was conducted by Gallup Wellbeing, is about elderly United States employees. (Ander, 2013) hail 3, the survey is from Gallup Wellbeing also and is about how egg-producing(prenominal) veterans rate their life. (Meyers Liu, 2013)Entertainment Survey Universal UK conducted this survey in order to decide which movies would sell the most if put on DVDs. To describe the procedure of participants Macnab said, The particip ants were stack across Britain, but no emergence is mentioned. (Macnab, 2013) Without the number of people surveyed, we cannot calculate if the participants were the correct amount. It was notion that the memory of the movies was considered as, escapism, but through the survey results, it was discovered that it was the reverse. As it showed the participants did not use the movies to sidestep lifes problems, but they were used to face them. (Macnab, 2013) It was as if the participants gained confidence during the viewing of the movie. Through doing the survey the compevery discovered the movies to use for DVDs, and the ones that had an impact on changing peoples lives by giving them self-esteem and confidence . Confidence and raising self-esteem levels of the viewers service of processed some viewers make better their lives, which is why they remember the movie. .Political Survey The political survey researched Federal employees to comp are the younger employees to the older em ployees and Federal Employees to Non-Federal employees. (Ander, 2013) The evaluation was to compare who plan they used their strengths while on the job to do what they do best the most. (Ander, 2013) One hundred fifteen thousand (115,000) people participated which when divided in half (because at that place are both Federal Employees and Non-Federal Employees) gives us 57,500, which would not be an appropriate amount of participants per population. It is because of this class that this author can say the participants were not significant for the population. We have learned that the targeted survey group must be appropriate for the population results.If they researched this to the amount of money population in the United States, the participating group should be at least 100,000 per group. This survey showed the results that the Federal employees who were 18-25 years old were the biggest fortune who said yes at 85.0%. (Ander, 2013) The Non-Federal employees results are participat es 65 years and older were the biggest percentage who said, Yes at 86.0%. (Ander, 2013) This was unexpected because it was thought the older employees would have the higher percentage for both. The least satisfied for the Federal employees were the 65 years and older at a 77.4% and the least in the Non-Federal employees category were the 18-29 year old group at 82.1%. (Ander, 2013)This survey proved the Federal Government could help their older employees more and the Non-Federal employers could help their younger workers more. (Ander, 2013)General Survey The general survey is about female veterans of the U.S. military having a much better outlook on their lives then the Male veterans. The survey was smooth of 353,561 Americans. (Meyers Liu, 2013) on that point were 48,690 respondents, which were affiliated with the military of the 353,561 participants. The results showed that female veterans rated their lives as, thriving were 54% while the male veterans at 44%. (Meyers Liu, 201 3) The researchers say one of the reasons for the 10% gap is due to the optimistic view of females compared to the males. Based on the total sample of national adults, the researchers comment that they can say with 95% confidence that the margin of error is 1 percentage points. (Meyers Liu, 2013) The sample coat for this survey was appropriate for the population. OverviewThe first survey did not mention any numbers as for the survey size or the population, so in that respect is no way to branch if the survey size is appropriate for the population. The second survey did mention 115,000-survey size, which is divided in half because on that point are two groups. This gives us a 57,500-survey size per group for the population. Using the population of the United States, we should have a 100,000 per group at the minimum. The third survey of the veteran females life satisfaction is the only one that has the correct amount of survey size. This survey size is353,561 of the population of military affiliates, which is a proper size per population. activity Copy of SurveyApplication Results Chart 1This chart show the ages of the participants, the 35-44 age categories has the most participants, which is 30% of the total 20 people. The lowest percentages of participants are the two categories of 18-24 and 65-74 with a percentage of 10%. The people ages 35-44 are the largest group of people to watch the movie.Application Results Chart 2 15%,30%,20%,35% This chart shows the number of participants that conduct the number of books 1, 2, 3 and the series of 4 books. As you can see, the participants that read the series are 7, and are the highest in percents also at 35%. This means that most of them read the series. The least of the participants (3) read only the first book at a percentage of 15%. . Application Results Chart 350% of the participants thought the movie was only somewhat close to the book. 30% thought the movie was notApplication Surveys and Business The survey above could tell the movie directors that they should make the equaliser of the series closer to the books. The participants seem to think they could have made the movie more like the books. There was a lot of story line missing of which some was important to the story to be complete. roughly of the participants said they were very disappointed, because for the books to be so good and the movie to be so bad there had to be something somewhere that missed the whole storys meaning. ConclusionIn conclusion, we have analyze various surveys showing how some have not had a survey group that was the correct size for the population. In order for the data to be accurate, the researcher must have the proper sized survey group for the population they are researching. Statistics cannot be correct if the data is off.