Justine Magazines often report surveys giving statistics such as “63% of women

Justine
Magazines often report surveys giving statistics such as “63% of women expect the man to pay on the first date.” Are these random samples? These surveys are most definitely not random – they are typically click-through from the magazine website – and so can provide an opportunity to discuss the sort of biases that can result from lack of random sampling.
This is most certainly not a random sample, if anything I would call this a convenient sample as the results of the poll are being driven by volunteered participation. This would also be a biased sample, since the poll is voluntary most of the participants will be individuals that feel strongly about that question. Either women who agree with the idea of men paying for the first date or those individuals who may want to skew data, say a man who thinks the question is bogus and wants to distort the result. The sample size for participants is also limited as not every woman reads this particular magazine, this results in a secondary bias as those participating will be people who have a positive interest in the source material. However, that source material is not a fair representation of ALL women, just the ones who are reading or visiting the website.
Tzeng
Magazines often report surveys giving statistics such as “63% of women expect the man to pay on the first date.” Are these random samples? These surveys are most definitely not random – they are typically click-through from the magazine website – and so can provide an opportunity to discuss the sort of biases that can result from lack of random sampling.
As suggested within the question, some surveys are provided through their own website. These biased surveys can provide false data. It can be detrimental if decisions are based on this data. It can also create conflicting information if there is another website with a different audience asking the same question. A lack of random sampling creates biases because it could provide results the surveyor has intended to receive. For example, if a person or company wanted to convince others that their product is superior, they could survey locations where their products are sold at a higher volume. Also, a company has a better chance of getting high ratings if they only surveyed customers they notified about a known product issue and were calling to rectify the situation, versus customers who called to complain about their product. In addition, the questions may be created in such a way that results in a more positive outlook. For instance, they can include questions that ask how good the company did at notifying their customers. A customer who was not notified would probably have rated this question a particularly low score.

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Magazines often report surveys giving statistics such as “63% of women appeared first on graduate paper help.

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