Hypothesis Testing in Linear Models - Essay Example

The second step is the analysis process. An analysis process provides an explanation of how the sampled data can be used to evaluate the hypothesis that is considered null (Koch, 1999). The idea revolves around a single test. The third step is the study of the sampled data. The study is carried out to get parameters such as the mean score, the z-score, and proportions among others. The analysis is done as per the description given in the analysis method.

The final step involves the interpretation of the results (Koch, 1999). The review plan in step three above provides criteria for making a decision. The criteria are known as a decision rule. After analysis of the sample data, if the value of test statistic is possible, the hypothesis is accepted, and if contrary then the hypothesis is considered null and thus rejected (Koch, 1999).

Example of a hypothesis.
It can be said that girls who get pregnant at a young age are likely to suffer birth complications compared to others (Koch, 1999). In this hypothesis, age is the dependent variable as it is possible to change, and birth complication is the independent variable. The result of the analysis will determine if the hypothesis should be accepted or rejected (Koch, 1999).