EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -with the collection, analysis and interpretation of data gathered. from random samples of a population under study. An important feature of Sampling theory: A statistical measure based upon the entire population is called a parameter while a measure based on a sample is known as a statistic.

Detailed explanation-2: -A descriptive measure for an entire population is a ‘’parameter. ‘’ There are many population parameters. For example, the population size (N) is one parameter, and the mean diastolic blood pressure or the mean body weight of a population would be other parameters that relate to continuous variables.

Detailed explanation-3: -A parameter is a number describing a whole population (e.g., population mean), while a statistic is a number describing a sample (e.g., sample mean). The goal of quantitative research is to understand characteristics of populations by finding parameters.

Detailed explanation-4: -When you collect data from a population or a sample, there are various measurements and numbers you can calculate from the data. A parameter is a measure that describes the whole population. A statistic is a measure that describes the sample.

Detailed explanation-5: -A descriptive statistic is used to summarize the sample data. A test statistic is used in statistical hypothesis testing. A single statistic can be used for multiple purposes – for example the sample mean can be used to estimate the population mean, to describe a sample data set, or to test a hypothesis.