METHODS OF DATA COLLECTION
CONCEPT OF SAMPLING AND OTHER CONCEPTS RELATED TO SAMPLING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
listing the first six students that come to mind
|
|
|
choosing the five oldest students in the class
|
|
|
writing the name of each student on a separate piece of paper and then drawingthese slips from a hat
|
|
|
selecting the first six students to arrive at class
|
Detailed explanation-1: -What is Random Sampling. Definition: Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population.
Detailed explanation-2: -A simple random sample takes a small, random portion of the entire population to represent the entire data set, where each member has an equal probability of being chosen. Researchers can create a simple random sample using methods like lotteries or random draws.
Detailed explanation-3: -This method tends to produce representative, unbiased samples. For example, if you randomly select 1000 people from a town with a population of 100, 000 residents, each person has a 1000/100000 = 0.01 probability. That’s a simple calculation requiring no additional knowledge about the population’s composition.