Introduction

Introduction
Objective
  • To familiarize the students about the concept of testing of any hypothesis, the different terminologies used in testing and application of different types of tests.

Sampling Distribution
  • By drawing all possible samples of same size from a population we can calculate the statistic, for example, for all samples. Based on this we can construct a frequency distribution and the probability distribution of . Such probability distribution of a statistic is known a sampling distribution of that statistic. In practice, the sampling distributions can be obtained theoretically from the properties of random samples.

Standard Error
  • As in the case of population distribution the characteristic of the sampling distributions are also described by some measurements like mean & standard deviation. Since a statistic is a random variable, the mean of the sampling distribution of a statistic is called the expected valued of the statistic. The SD of the sampling distributions of the statistic is called standard error of the Statistic. The square of the standard error is known as the variance of the statistic. It may be noted that the standard deviation is for units whereas the standard error is for the statistic.

Last modified: Sunday, 18 March 2012, 4:22 PM