Summary of the Article-
This article state about Sample and what things are important to consider when we conduct a hypothesis testing for our research. In a research, Sample is very important because Sample is a set of individuals, units or objects which researcher collect from wide population. Since, Researcher can not collect data and test thier hypothesis from whole population so they take sample by defined procedure to inference thier results and then test thier hypothesis.The two techniques that help researcher to get reliable and error free results are random and representative sampling techniques.
Randome sampling is a technique in which sample is collected from population randomly. In this technique, the sample is more true, free from bias. This is because randome sampling make sure each person or object have fair and equal chance to be chosen.
Representative technique as the name suggest is a technique which shows or represent the accurate characteristics of large population. The characteristics like age, gender, marital status, education level etc. for example- if we study the behavior of poor results of students in Maths and scienece then we collect sample. The class have 40 students where 20 are male and 20 are female students so we collect sample of 10 students where 5 represent male and 5 represent female students.
The main aim of every research is to reduce chances of having biases and errors in their research. Using both techniques will help researcher to achieve results with less bias and sampling error so that hypothesis testing can give real and true result.