Beware the dangers of google. Google is a great tool, but it is necessary to be skeptical and evaluate the provided results. For example, upon google searching "standard error of the difference between two means" the first hit is a link to a web page from Keane University where the equation for the standard error of the difference between two means is given as SEµ 21 -42 n1 n2 However, the text book gives the equation below as the standard error for the difference between two means as SE %3D ni n2 Why are these two formulas different? How can you tell? Which one is correct? SEµ 21-H2 n2 is the equation for the standard error of two sample means, while SE n1 n2 is the equation for the standard error of two population means. Latin letters are usually used in the equations for population parameters, while Greek letters are usually used in the equations for sample statistics. Greek letters are usually used in the equations for population parameters, while Latin letters are usually used in the equations for sample statistics. The population parameter equation is only correct to use when the data set encompasses the entire population. SEP21-42 n1 n2 is the equation for the standard error of two population means, while SE n1 n2 is the equation for the standard error of two sample means. The sample statistic equation is correct to use when the data set is from a subset of the entire population.

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.