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Gender bias and its effect
Survey for gender bias paper
Sampling methods practice
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Having a large sample size in a survey does not assure accurate statistics. What really matters is the sample diversity. For example: you wanted to find out how many of your workmates watch football, it would be foolish to only survey the men in your office and assume that the statistic applies for all the company’s employees. In order to get accurate statistics, you would have to expand the survey to include the female employees and the workers in other company offices. In the example above, the survey needed not only to be expanded but diversified. By including the women and other workers, you make the statistics more accurate because it represents the TV watching habits of ALL the company’s employees. However, if the company is very large, it would be difficult to interview every single employee. The solution to this problem is called random representative sampling. Random representative sampling is a method of sampling that uses random selection to obtain its samples. By making sure that everybody has an equal chance at being selected, random representative sampling ensures diverse samples. Using the example in paragraph one, a random representative sample allows you find the statistics on all the company’s employees without interviewing all them. Random representative sampling is important for getting accurate poll results because it allows you to find the view of a population while making sure that the poll is not biased in any way. Part 2 1. Does the question posed by the pollster meet the standards for a good question? Why or why not? The question posed by the pollster is a poor question because the “right thing” means something different to each person. 2. What are the facts collected and presented by the poll... ... middle of paper ... ...onducted by Gallup in this article are well designed and representative of the entire voting population. However, there is always room for improvement, and I am confident that the polls are becoming more and more accurate every day. It is very important that polls are as accurate as possible because people trust polls, basing their views and reports on them. Works Cited Page Part 1: http://www.socialresearchmethods.net/kb/sampprob.php Part 2: http://my.hrw.com/tabnav/controller.jsp?isbn=0030677025 Part 3: http://www.pollingreport.com/politics.htm Part 4: www.gallup.com
Two sampling methods include mail surveys and convenience sampling, a variation of a nonprobability sample. Mail surveys, inexpensive way to contact individuals over a large geographical area, provide anonymity to the respondent, and eliminate interview bias. Convenience sampling, a nonprobability sample, the only criteria is the convenience of the unit to the researcher, fast and uncomplicated, but the sampling error not determined.
Zorn, Eric. “One thing polls show accurately: Changed minds." Chicago Tribune Nov 9, 2004: 1.
An investigation of 150 randomly selected local restaurants concluded that 42% of local restaurants have serious health code violations. Is this a population or a sample; explain your answer.
...ling or the results. The sample was sufficient enough to prevent any hastiness or weak generalizations and the process by which they went about collecting the data was completely random in terms of selecting a balanced and equal number of participants. The target population was the general American public and these methods seem to accurately reflect the target’s characteristics. With the techniques conducted by Rasmussen it becomes possible for a bias to creep in. The main issue comes with the online surveys because, despite being sent to a specific set of people, the amount of those who decided to participate or if it was the correct person can not be out of the control of the pollsters, which is one aspect was. The target population for this then, the active voters in the U.S., becomes harder to connect to due to the lapse in full randomly selected participants.
...s are driving voters' decisions. This received serious criticism because polling errors created false impressions about who's ahead or who's behind in the campaign, and that may affect voters' thinking. It was clear that some news media were relying on the exit polls for sources of performance as early reports were conveying that Kerry was doing well.
In the last three decades, polls became an important instrument for the media, especially television networks, to determine who wins and who loses the election. Caprini conducted a study about the impact of the early prediction of a winner in the 1980 presidential race by the television networks. He observed that, shortly after 8 p.m. Eastern standard time, NBC announced that, according to its analysis of exit poll data, Ronald Reagan was to be the next president of the United States (Caprini, 1984, p. 866). That early call was controversial because the polls in many states were still open at the time and, in some of th...
In statistics, a population is a collection of individuals, things, events, etc. The population is the topic that one wants to make inferences on, whereas a sample is a subset of the population that is being collected—to be studied. After the sample is studied in statistics, one draws an inference of the population. There are four general sampling methods used in statistics: representative sample, random sample and quasi-random sample, stratified and quota sample, convenience sample, and purposive sample. A representative sample should be unbiased and thus properly indicate a characteristic of the entire population. In a random sample nothing is biased; in other words, every individual, thing or event in the population has the same chance of being selected for the sample. Therefore, because of the randomness of the sampling, the selection of one item from the population in no way effects the selection of another item. A quasi-random sample is simply a number (nth), which is
In terms of the research itself, I feel that the sample was appropriately selected; however the results may change if posts from other social media sites were included. Also, it would be interesting to see if further research in to other elections, not just those for the United States congress, would produce the same results.
Sampling bias (pg. 112) – a sampling method can be called biased if the results of the research found favors the outcome the researcher is looking for. The researcher ultimately controls/influences whether the results are biased and potentially misleading. If a researcher thinks that football players are more susceptible to concussions, the researcher may only look at specific positions where the players take more hits to the head for their research which could affect the results looking at football players as a whole.
The study consisted of a significant number of females compared to males, which makes it invalid to conclude that the findings support the general population. A strength was that participants were selected at random. By doing so, the study remained unbiased, thus making the results more credible.
Often uses random sampling to select a large statistically representative sample from which generalizations can be drawn.
When polls are done right they can be very accurate. Polls are taken by using an area code and then the rest of the numbers they enter in randomly until they get a certain number of responses from that area code. They do that for lots of areas to get responses from all demographics. Then they average out the responses
Everywhere you turn, there is some type of means of asking you for your opinion. There seems to be opinion polls attached to the side of every website you visit, every receipt you get from your favorite retailers, and a report about a new survey taken makes nightly news fairly often. But what is the point of all of these polls, and are they even effective?
The sampling design process includes five steps which are closely related and are important to all aspect of the marketing research project. The five steps are: defining the target population; determining the sample frame; selecting a sampling technique; determining the sample size; and executing the sampling process.
Before beginning my survey, I had some preconceived notions about the types of answers that I would obtain. I decided to survey ten college students. I included five male and five female subjects in my survey to be equitable as well as to determine preferences based upon gender in my results. I surveyed two of my male roommates and one female roommate. The remaining participants were random friends who visited our house. This was an easy and effective way to conduct my surveys. Having so many roommates means there are always a variety of people who come and go from our residence. Although this was a simple way to conduct my survey, I was not certain that it would be an accurate sampling. Even though there were a variety of individuals frequenting our house, they seemed to possess many similarities. My fears were unfounded because those surveyed preferred various programs, providing the basis for unbiased results...