Page 70 - SREENARAYANAGURU OPEN UNIVERSITY
P. 70

Summarised Overview




                     Population and sample are fundamental concepts in sampling theory. The population
                   refers to the complete group or set of individuals, objects, or events that a researcher
                   wants to study and make inferences about. However, studying the entire population is
                   often impractical or impossible, so a sample is selected as a representative subset of the
                   population.

                     Sampling  techniques  can  be  categorised  into  random  and  non-random  methods.
                   Random  sampling  involves  selecting  individuals  from  the  population  in  a  way that
                   ensures each member has an equal chance of being chosen. This helps to minimise
                   bias  and  increase  the  generalisability  of  the  findings.  Common  random  sampling
                   techniques include simple random sampling, stratified random sampling, and cluster
                   sampling. Non-random techniques include convenience sampling, quota sampling, and
                   purposive sampling, which involve selecting individuals based on convenience, specific
                   characteristics, or predetermined criteria. Understanding these concepts and techniques
                   is crucial for obtaining reliable and valid data in research and statistical analysis.





                        Assignments





                    1.  Imagine you want to know  what people think about a new restaurant that just
                       opened in your neighbourhood. How would you select a group of people to ask
                       for their opinions? Would you choose them randomly or based on convenience?
                       Explain your reasoning.
                    2.  You are conducting a study on the reading habits of high school students in your
                       city. How would you select a sample of students to participate in your study? Would
                       you randomly select students from different schools, or would you choose a specif-
                       ic school and sample all its students? Explain your choice.

                    3.  Suppose you are organising a school event and you want to estimate the number of
                       attendees. How would you determine the total number of students in your school?
                       Would you count every single student or select a smaller group to represent the
                       whole school? Explain your approach.
                    4.  Imagine you are a product manager for a new smartphone. How would you esti-
                       mate the demand for your product in the market? Would you survey a sample of
                       potential customers or interview every single person? Discuss the advantages and
                       disadvantages of each approach.









                 64      SGOU - SLM -MCom Research Methodology
   65   66   67   68   69   70   71   72   73   74   75