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Lesson 3 -1

refers to an entire group that is under study or investigation population
is a subset taken from a population, either by random or non-random sampling techniques sample
is a representation of the population with which one hopes to draw valid conclusions from about the population. sample
is a selection of n elements derived from a population N, which is the subject of the investigation or experiment, in which each sample point has an equal chance of being selected using an appropriate sampling technique random sample
a sampling technique where in every member of the population has an equal chance of being selected. Lottery sampling
a sampling technique in which members of the population are listed and samples are selected in intervals called sample intervals. Systematic random sampling
a sampling procedure wherein the members of the population are grouped based on their homogeneity. Stratified random sampling
sometimes called area sampling, it is applied on a geographical basis. It is generally done by sampling at the higher levels first before going down to the lower levels. Cluster sampling
done using a combination of different sampling techniques. For instance, when selecting respondents for a national election survey, we can make use of the lottery method first for regions and cities. Multi-stage sampling
only those whom the researcher meets by chance are included in the sample when using this technique Accidental sampling
includes a specified number of persons of certain types to be taken as samples Quota sampling
most convenient and fastest sampling technique that makes use of the telephone, mobile phones, or the internet Convenience sampling
used in very small sample sizes. For example, this can be used if the subjects of the study are deans of certain universities or area managers of certain institutions. Purposive sampling
is a number which describes a sample. It can be directly computed and observed. An example of a statistic is the sample mean, which serves as an estimator for the population mean. statistic
is a descriptive measure of a population. While a statistic can be directly computed and observed, the value of a parameter can be approximated and is not necessarily equal to the statistic of a sample. parameter
is the probability distribution when all possible samples of size n are repeatedly drawn from a population sampling distribution
Created by: annebelle
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