write a 75 word response to the following: Estimation and sampling have been a major backbone of statistical analysis. It paves the way for researchers to be able to make observations and analyses of a population without the need to survey, test, or examine the entire demographic. Selecting a sample that is representative of the general population is an important part of quantitative research and understanding demographics (Omair, 2014). Sampling techniques allow for the selection of a certain portion of the population. It provides the opportunity to make assumptions about a larger population. It is a common pitfall to opt for the easier option of convenience sampling where "all" the available people in the study population are selected for the study until the required sample size is attained (Omair, 2014). Since studying the entire population would be inefficient due to time consumption, costs, and other logistical concerns, having the ability to study a sample group is very beneficial. The article "Sample Size Estimations and Sampling Techniques for Selecting a Representative Group" discusses sampling methods like random, cluster, and stratified sampling. Each sampling technique has its own set of benefits and drawbacks. These positives and negatives change depending on the characteristics of the sample size. Stratified sampling separates a group into smaller subgroups, with the possibility of sampling each subgroup independently. On the other hand, cluster sampling is effi