Final Project

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Report on Data Due Diligence

In order to draw relevant conclusions from any given data set , the researcher needs to address the following points

There must be clear delineation between continuous and discrete variables . Continuous variables have values that can be measured in intervals . Discrete variables , on the other hand , have values that cannot be measured in intervals (in whole numbers or integers . Examples of continuous variables are temperature , weight , income , height , and depth . Examples of discrete variables are age , number of months

, and number of children

The second consideration is related to the type of statistical tests used in specific analysis . The Student 's t-test is used for comparing the variance of `two ' sample groups . The ANOVA or the Analysis of Variance is used for more than two sample groups (it can also be used in analyzing the variance of two sample groups . Regression analysis provides a synthetic equation which describes the relationship between one or more variables

In group analysis , correlation is of little value . The important thing is the perpetuity of the variance or the existence of disparity

It would be irresponsible for the researcher to conduct multiple statistical tests when only one or two is required to establish the validity of any given hypothesis

The researcher should always consider the normality of any given data set . If the data set is normally distributed , he /she may use the ANOVA or the t-test . If , however , the data set is not normally distributed...