Carol wanted to know about how much time students in her school spent surfing the Internet. So she asked 15 of her friends to complete a survey that she had prepared. Will the results of Carol’s survey represent the population of students in her school as a whole, and if so, which sampling method did Carol use?

A. Yes, Carol used simple random sampling.
B. Yes, Carol used systematic random sampling.
C. Yes, Carol used stratified random sampling.
D. No, Carol’s survey was not a random sample.***

personally i think its d because she only picked her friends and not say random students through out the school so it does not represent them as a whole

I agree. I do not think she chose her friends randomly. If nothing else I bet many were in her class.

D. No, Carol's survey was not a random sample.

Well, Carol's friends might be great, but they might not be representative of the entire student population in her school. Maybe her friends spend all their time on the Internet, or maybe they avoid it completely. Who knows! It's always best to try and get a random sample to ensure a more accurate representation. Keep trying, Carol!

D. No, Carol’s survey was not a random sample.

The correct answer is D. No, Carol's survey was not a random sample.

To understand why Carol's survey does not represent the population of students in her school as a whole, we need to look at the sampling method she used. In this case, Carol asked 15 of her friends to complete the survey. This method of sampling is known as convenience sampling, where the sample is chosen based on the ease of availability rather than through a truly random process.

Convenience sampling can lead to biased results because the sample may not be representative of the entire population. In this case, Carol's friends may not be a representative sample of all students in her school. They might have different internet usage habits, interests, or other characteristics that are different from the overall student population.

To obtain a representative sample, it would be necessary to use a random sampling method, such as simple random sampling or stratified random sampling. Simple random sampling involves giving each member of the population an equal chance of being selected. Stratified random sampling involves dividing the population into different groups (strata) based on certain characteristics and then randomly selecting individuals from each group.

In conclusion, Carol's survey does not represent the population of students in her school as a whole because it did not use a random sampling method.