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Definition: The Sampling Distribution of the Mean is the mean of the population from where the items are sampled. If the population distribution is normal, then the sampling distribution of the mean is likely to be normal for the samples of all sizes. Following are the main properties of the sampling distribution of the mean: Its mean is equal to the population mean, … [Read more...] about Sampling Distribution of Mean

Definition: The Sampling Distribution helps in determining the degree to which the sample means from different samples differ from each other, and the population mean to determine the degree of closeness between the particular sample mean to the population mean. In other words, the sampling distribution constitutes the theoretical basis of inferential statistics that … [Read more...] about Sampling Distribution

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