Submitted by: Submitted by saumya
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Words: 1364
Pages: 6
Category: Business and Industry
Date Submitted: 11/07/2010 04:19 AM
NIBM
Assignments of Two year MBA program
SEMESTER-III
MANAGEMENT RESEARCH
Name.: Saumya Ranjan Jena
Roll No.: MMBA/DEC08/7055
Registration No.:900163
Q:You are in charge of promoting a new flavor of tooth paste yet to be produced in a tooth paste manufacturing unit Which sampling techniques will you use to get the required data from a population?
A:Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures one or more properties (weight, location, etc.) of an observable entity enumerated to distinguish objects or individuals. Survey weights often need to be applied to the data to adjust for the sample design. Results from probability theory and statistical theory are employed to guide practice. In business, sampling is widely used for gathering information about a population
It is incumbent on the researcher to clearly define the target population. There are no strict rules to follow, and the researcher must rely on logic and judgment. The population is defined in keeping with the objectives of the study.
Sometimes, the entire population will be sufficiently small, and the researcher can include the entire population in the study. This type of research is called a census study because data is gathered on every member of the population.
Usually, the population is too large for the researcher to attempt to survey all of its members. A small, but carefully chosen sample can be used to represent the population. The sample reflects the characteristics of the population from which it is drawn.
Sampling methods are classified as either probability or non-probability. In probability samples, each member of the population has a known non-zero probability of being selected. Probability methods include random sampling, systematic sampling, and stratified sampling. In...