## Question

###### Eft:1:02:50 Daniel Anderson: Attempt 1 question 8 (3 points) You assign a unique number from 1...

## Answers

Answer:

3rd option: Convenience.Because here he is going to take opinions of only group of friends not others.

Explanation:

A convenience sample is a type of non-probability sampling method where the sample is taken from a group of people easy to contact or to reach. For example, standing at a mall or a grocery store and asking people to answer questions would be an example of a convenience sample. This type of sampling is also known as grab sampling or availability sampling. There are no other criteria to the sampling method except that people be available and willing to participate. In addition, this type of sampling method does not require that a simple Random sample is generated, since the only criteria is whether the participants agree to participate.

We were unable to transcribe this image3. Systematic Sampling: To draw a systematic sample of size n, sampling units are numbered 1 to N, where N is the population size. In this method we divide population in "n" equal parts according to serial numbers. Suppose each of the part includes "K” units (we assume N = nk) Note that 1st group will contain units bearing serial numbers 1 to k, 2nd group will contain units bearing serial numbers k+1 to 2k and so on. Then we select a number at random from 1 to k. Suppose this is j then ſth unit in serial order from each group is taken. Thus it will form a sample of size n which is called as systematic sample. If ſth unit is selected then systematic sample will include jth, (j + k)th, 6 + 2k)th ....., j + (n − 1)kth observations from original list.4. Cluster Sampling: Sometimes population consists of several groups, which are convenient to use as sampling units. These groups are called as clusters. In cluster sampling, we consider cluster as sampling unit and choose simple random sample of clusters. For example: In order to conduct a survey of village we can take family as a unit and then we collect information of each member in the family, rather than collecting information of individuals. In this case family plays a role of cluster.