Estimating the Nonparametric Confidence Interval for Correlation Coefficient on Animal Data

Abstract

Correlation coefficient is widely used in the all areas of science to establish the degree and direction of two variables. Confidence interval is a special form of estimating a certain parameter. With use of this method, a whole interval of acceptable values for the parameter is given instead of a single value, together with a likelihood that the real (unknown) value of the parameter will be in the interval. The confidence interval is based on the observations from a sample, and hence differs from sample to sample. In this study, nonparametric confidence interval estimation for Pearson correlation coefficient were shown using an animal data set.