Sampling and Confidence Intervals

Abstract Confidence intervals are one of the statistical tools for conducting hypothesis testing. Hypothesis testing is a common rule in research for testing the validity of the unknown population parameter. There are many different types of test-statistics used in hypothesis testing. Some are more appropriate and specific to some problems depending on the variables being compared. For instance, Chi-square works best in testing relationships of categorical variables. However, whatever appropriate method employed in the research hypothesis, the Null hypothesis is a reliable concept for testing an assumption. The null hypothesis (H0) assumes no difference or no change in variables (Sullivan, 2012). In contrast, the research question or hypothesis (HA) is a set of educated guess the researcher believes to be true within the context of the research (Sullivan, 2012). This review explores the application of confidence intervals in hypothesis testing. Sampling and Confidence Intervals The confidence level shows how sure

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