# Comparing actual frequency and observed

Guide to use statistical techniques Test of comparison: Comparing actual frequency and observed frequency. Two variables and both the variables are nominal or ordinal level -Chi square test Mean of one variable to be compared to a benchmark and the variable is interval or ratio scale t-test Comparing mean of two variables and both the variables are interval or ratio scale -t-test **If the variables are from related sample -paired sample t-test **If the variables are from unrelated sample or independent samples -independent sample t-test One interval or ratio scale variable divided into two groups. Means of the two groups are being compared -t-test **If the groups are from related sample -paired sample t-test **If the groups are from unrelated sample or independent samples -independent sample t-test One interval or ratio scale variable divided into multiple groups and means of the groups are being compared -ANOVA Test of relationship: Regression should be used if the following two conditions are met: **Looking for a dependence-independence relationship, that means there is a dependent variable and one or more independent variable(s) **The dependent variable is a continuous variable (interval or ratio) Correlation should be used if the following two conditions are met: **Looking for an interdependent relationship between two variables, that means there is not one dependent variable rather both the variables are interdependent. **Both the variables are continuous (interval or ratio)

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