Type I Error Steps in Hypothesis Testing Econometricians follow a formal process to test a hypothesis and determine whether it is to be rejected. Stating the Hypotheses The first step involves positioning the null and alternative hypotheses. Remember, that these are mutually exclusive. If one hypothesis states a fact, the other must reject it.

Hypothesis Testing, Statistical Significance, and Independent t Tests Hypothesis Testing and Statistical Significance When a hypothesis is tested by collecting data and comparing statistics from a sample with a predetermined value from a theoretical distribution, like the normal distribution, a researcher makes a decision about whether the null hypothesis should be retained or whether the null hypothesis should be rejected in favor of the research hypothesis.

If the null hypothesis is rejected, then the researcher often describes the results as being significant.

Rejecting a null hypothesis results in statistical significance, but not necessarily practical significance. A statistically significant result is one that is likely to be due to a systematic i.

No matter how carefully designed the research Directional hypthesis is, there is always the possibility that the result is due to something other than the hypothesized factor. The need to control all possible alternative explanations of the observed phenomenon cannot be emphasized enough.

Alternative explanations can stem from an unrepresentative sample, some other type of validity threat, or an unknown, confounding factor. The ideal situation is one in which all other possible explanations are ruled out so that the only viable explanation is the research hypothesis.

Norms for different fields exist. The level of statistical significance is the level of risk that the researcher is willing to accept that the decision to reject the null hypothesis may be wrong by mis-attributing a difference to the hypothesized factor, when no difference actually exists.

Like the chance of committing a Type I error, the chance of committing a Type II error is also under the control of the researcher. Visit this site http: See page for another version of the same table.

The decision you will make as a researcher is whether to reject or retain the null hypothesis based on the evidence that you've collected from the sample. This decision is similar, in theory, to the decision a juror makes about the guilt or innocence of a person on trial based on the evidence presented in the case.

The decision, or action, is the choice made by the researcher or the juror based on the collected evidence. If an error was made, you will know which it was because either the null hypothesis is rejected or retained. The catch is that you can never know without a doubt whether an error, or a correct decision, was made.

Which error is more serious? How does this relate to conducting research in an educational setting? Steps for conducting a test of statistical significance State the null and research hypotheses. Establish the level of statistical significance alpha level, level of risk for committing a Type I error.Hypothesis Testing.

At the heart of research lies a question. For example, consider the following scenario: you just went for a run in the park, and you feel great.

An hypothesis is a specific statement of prediction. It describes in concrete (rather than theoretical) terms what you expect will happen in your study. CHAPTER 8: INTRODUCTION TO HYPOTHESIS TESTING 3 suppose we read an article stating that children in the United States watch an aver age of 3 hours of TV per week.

The MendelWeb Glossary. This is a glossary of terms that appear in Mendel's paper and other areas of MendelWeb. It is not meant to be exhaustive, and is aimed primarily at students in secondary and undergraduate schools.

If some of the weirder psi suppression theories are right, psi should actually be easier to study by conducting personal experiments than by trying to study or do public science, especially if you precommit yourself to not telling anyone about the results.

DEVELOPING HYPOTHESES & RESEARCH QUESTIONS Definitions of hypothesis “It is a tentative prediction about the nature of the relationship between two or.

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Hypothesis Testing