Business Jargons

Definition: The Sample is the representative of the population from where it is drawn, and thus the Sample Distribution measures the frequency with which the number of subjects that make up the sample is actually drawn for a given research study. The samples are drawn when the population size is large, and it is not possible for an investigator to completely enumerate all … [Read more...] about Sample Distribution

Definition: The Population Distribution is a form of probability distribution that measures the frequency with which the items or variables that make up the population are drawn or expected to be drawn for a given research study. The characteristics or attributes of the population, i.e. the value of each variable in the population can be determined only when the investigator … [Read more...] about Population Distribution

Definition: The Central Limit Theorem states that when a large number of simple random samples are selected from the population and the mean is calculated for each then the distribution of these sample means will assume the normal probability distribution. In other words, the sample means will be normally distributed when the mean and standard deviation of the population is … [Read more...] about Central Limit Theorem

Definition: The Non-Sampling Error is the statistical error that arises due to the factors other than the ones that occur when the inference is drawn from the sample. Simply, the errors caused due to the defective methods of data collection, faulty definition, incomplete population coverage, wrong tabulations, etc. when the complete enumeration of all the items in the … [Read more...] about Non-Sampling Error

Definition: The Sampling Error refers to the statistical error occurred when the subset of the population (sample) deviates from the true characteristics, attributes and behavior of the total population. Simply, when the sample selected from the population differs from the actual attributes of the target population, then the sampling error arises. Basically, there are two … [Read more...] about Sampling Error

Definition: The Snowball Sampling is a non-random sampling technique wherein the initial informants are approached who through their social network nominate or refer the participants that meet the eligibility criteria of the research under study. Thus, this method is also called as the referral sampling method or chain sampling method. The snowball sampling method is … [Read more...] about Snowball Sampling

Definition: The Convenience Sampling is the non-probability sampling technique wherein a proportion of the population is selected on the basis of its convenient availability. This method is also called the chunk (fraction) taken from the population on the basis of its convenient accessibility and availability to the investigator. The telephone directory, census survey … [Read more...] about Convenience Sampling

Definition: The Quota Sampling is yet another non-probability sampling method wherein the population is divided into a mutually exclusive, sub-groups from which the sample items are selected on the basis of a given proportion. Simply, Quota Sampling is a form of judgment sampling technique wherein the investigator selects the sample items from the exclusive sub-groups on the … [Read more...] about Quota Sampling

Definition: The Judgement Sampling is the non-random sampling technique wherein the choice of sample items depends exclusively on the investigator’s knowledge and professional judgment. In other words, the investigator chooses only those sample items which he feels to be the best representative of the population with regard to the attributes or characteristics under … [Read more...] about Judgement Sampling

Definition: The Multistage Sampling is the probability sampling technique wherein the sampling is carried out in several stages such that the sample size gets reduced at each stage. The multistage sampling is a complex form of cluster sampling. The cluster sampling is yet another random sampling technique wherein the population is divided into subgroups called as clusters; … [Read more...] about Multistage Sampling