Hypothesis Testing - Assignment Example

Hypothesis testing al Affiliation) Hypothesis testing and data Hypothesis testing is a process that uses of selected datafrom samples to make conclusions if there is enough evidence to revoke the idea no changing is occurring in the population under study. Hypothesis testing is significant in determining whether the test data has any statistical importance. Statistical importance is found when it comes clear that the findings in the samples are likely not to occur if the findings are not present in the case population (Black, 1999).

Hypothesis testing divides into two categories: the null hypothesis and the alternative hypothesis. The null hypothesis is simple a statement that indicates that nothing is happening to the population. It shows that there is no relationship or difference in the population and the underlying facts still hold true. The alternative hypothesis on the other hand is a statement that indicates that something is happening to the population. It clearly shows that there is a difference or relationship in the population under study.

Parametric and nonparametric testing used in hypothesisParametric tests estimate population parameters such as the mean while the nonparametric tests on the other hand help in the ranking and ordering of observations and data (Christensen and Johnson, 2011). It is very important that a choice be made between the use parametric and nonparametric tests. If there is sufficient evidence to ascertain that there is normal distribution in the population then it is appropriate to us parametric tests. When the population does not have a normal distribution then it will be appropriate to use nonparametric tests.

A good example of a parametric test is the ANOVA while that of the nonparametric test is the Kruskal Wallis (Vogt, 2007). ReferencesBlack, T. R. (1999). Doing quantitative research in the social sciences: An integrated approach to research design, measurement, and statistics. London, England: Sage Publications.Christensen, L. B., Johnson, R. B., & Turner, L. A. (2011). Research methods, design, and analysis (11th Ed.). Boston, MA: Allyn & Bacon.Vogt, W. P. (2007). Quantitative research methods for professionals.

Boston, MA: Pearson.