A researcher can take samples from the population for observation and research activities. The purpose of taking samples from a population is to save costs and time in research activities.
The sample is part of the population, including the number and characteristics of the population. In large populations, researchers may not observe all of these populations due to limited funds, labour, and time. Sampling is one solution in research where research results can still represent the characteristics of the observed population.
Based on the type, research can be divided into survey research and experimental research. In survey research, we generally collect primary data from a population. Researchers can take population data or samples from the population in the study.
Research objectives, analysis methods, and hypothesis testing have a close relationship with one another. Each research objective requires analytical methods to test research hypotheses. On this occasion, Kanda Data will discuss The Relationship between Research Objectives, Analysis Methods, and Hypothesis Testing.
Simple random sampling has often been used by researchers when determining the sample. In this case, the researchers chose a random sample. Researchers who choose this technique must meet the required assumptions. Incidentally, on this occasion, I will discuss the topic of simple random sample selection techniques.
