Response Variable and Explanatory Variable.

Statistics

Response Variable and Explanatory Variable. Example One To explore these concepts we will examine a few examples. For the first example, suppose that a researcher is interested in studying the mood and attitudes of a group of first year college students. All first year students are given a series of questions. These questions are designed to assess the degree of homesickness of a student. Students also indicate on the survey how far their college is from home. One researcher who examines this data may just be interested in the types…

Simpson’s paradox

Source: WikiPedia Simpson’s paradox, or the Yule–Simpson effect, is a paradox in probability and statistics, in which a trend appears in different groups of data but disappears or reverses when these groups are combined. It is sometimes given the impersonal title reversal paradox or amalgamation paradox. This result is often encountered in social-science and medical-science statistics, and is particularly confounding when frequency data is unduly given causal interpretations.The paradoxical elements disappear when causal relations are brought into consideration. Many statisticians believe that the mainstream public should be informed of the…