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1. Used parametric tests if your sample size is more than 30.
2. Use parametric tests if it is normal data distribution.
3. Use non-parametric tests if your sample size is fewer than 30.
4. Two variable data are called univariate data.
5. The data analysis involves the use of statistical tests to would not address questions or objectives.
6. In non-parametric test, the independent variable significantly affects the dependent variable.
7. is a statistical measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution.
8. Skewness can be quantified as a representation of the extent to which a given distribution varies from a normal distribution.
9. To test the relationship between two variables, pearson's r can be used.
10. To test the difference between two data sets from one group, t-test of independent sample can be used.
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