In the given context, we can conclude that about 38% of women cooked dinner everyday in 2014.
Option: B
<u>Explanation:</u>
The survey was conducted by a social networking site and on just among the female users of it. So, if we consider the total number of female users as a 100% then out of them 38% responds in favor of the question. So, in this case we can't say that the survey is stratified survey because its only worked on female users.
It's also can't called under coverage because particularly the female users of that sites are targeted not overall female population of world. Even we can't say that sample size is small. Because wherever we will mention the survey result it will be clearly mentioned that there only female users of Pushpin are surveyed.
Answer:This would be an example ofa. snowball sampling
Explanation:
A participant chooses someone else to participate on their behalf in a study or test. This happens in cases where it is not easy to fin the actual potential participants. It is called a snowball because when you roll a ball in an snpw it keeps attaching more snow until it gets bigger. The sampling is done randomly which means it is a non probability sampling
Snowball sampling consists of two steps:
The researcher will choose potential participants which are only few at the beginning. The chosen participants will recruits more participants, they don't have to give names. This recruitment goes on until the desired sample proportion is reached. The participants will only encourage others to come but that is not forced. It can be ethically challenging because subjects can be of sensitive topics
Why is Snowball Sampling Used?
In cases where a research deals with sensitive topics such as cheating, shoplifting, drug use and other deviant societal behaviours, participants may not feel comfortable to come forward. However they may suggest others in similar situation as them and be assured of confidentiality.
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The Congress making the rules