PSYCH 625 r5 Wk2 Hypothesis Testing Table-1 draft PDF

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Introduction to Hypothesis Testing Table

PSYCH/625 January 21, 2020 Professor Matt Will University of Phoenix

Introduction to Hypothesis Testing Table Identify whether each research scenario listed in the left column of the top of the matrix, would be a one- or two-tailed test and then justify your decision. For each research scenario in the bottom of the matrix, write what the null and alternative hypotheses would be. Research Scenario

One-tail or two-tail test

Justification

A local dermatologist claims that 30% of mole biopsies are unnecessary. Last month at his clinic, 210 out of 634 had benign biopsy results. Is there enough evidence to reject the dermatologist’s claim?

One-tail test.

The result of the study resulted in a value that is less than the number of participants. Yes, since the result is 30%, there is enough evidence to reject the dermatologist’s claim.

A local dermatologist claims that more than 30% of mole biopsies are unnecessary. Last month at his clinic, 210 out of 634 had benign biopsy results. Is there enough evidence to reject the dermatologist’s claim?

One-tailed directional test

A one-tailed hypothesis also described as a directional hypothesis is a hypothesis in which a researcher predicts a specific direction between the groups of data (Jackson, 2017). The local dermatologists claim that there is more unnecessary mole biopsies than necessary mole biopsies. The increase in unnecessary mole biopsies is the direction in which the local dermatologists is predicting the data will conclude.

A local dermatologist claims that less than 30% of mole biopsies are unnecessary. Last month at his clinic, 210 out of 634 had benign biopsy results. Is there enough evidence to reject the dermatologist’s claim?

One-tailed

The dermatologist is predicting that 30% of all biopsy being done are unnecessary. According to Jackson (2017) “An alternative hypothesis in which the researcher predicts the direction of the expected difference between the groups”. (p. 127)

Research Scenario

Null hypothesis:

Alternative hypothesis:

A pharmaceutical company believes their weight loss drug is more effective than any program on the market. They study two groups of people: Group A is given the drug and Group B is given a placebo. They then compare weight loss over the course of 3 months.

The group that is given the drug and the group that is given the placebo will have the same effect as one

The group that receives the placebo drug will have better weight loss results.

another. A college professor believes class attendance is different on sunny versus cloudy days.

Researchers hypothesize that rats fed donuts for breakfast will perform worse on a task than those fed a high-protein breakfast.

Number of students that come to class is the same no matter if it is sunny or cloudy. The null hypothesis would be that rats fed donuts and those fed high protein would perform the same, meaning there is “no difference that exists between the groups being compared” (Jackson, 2017)

References

On sunny days the number of students that come to class is different. (more come) than on cloudy days.

The alternative hypothesis in this scenario is that rats who are fed with the high protein will excel on performing task.

Jackson, S. L. (2017). Statistics plain and simple, (4th ed.). Boston, MA: Cengage Learning....