A researcher wishes to study the effect of a new drug on blood pressure. Consider and discuss the following questions as you respond: Would you recommend using a z-test, a t-test, or an ANOVA for the analysis? Explain your answer

Based on the paragraph below ,

1)What would your study groups look like? What are your specific independent and dependent variables?

2)Can you describe your research design? In addition, what are your hypotheses in word form?

A researcher wishes to study the effect of a new drug on blood pressure. Consider and discuss the following questions as you respond:  Would you recommend using a z-test, a t-test, or an ANOVA for the analysis? Explain your answer.
Tanner states, “When researchers work with human subjects, some level of error variance is inescapable” (Tanner, 2011). It is for this reason that I would recommend using the ANOVA test for the analysis as it was created to “calculate variability in a problem and analyze it” (Tanner, 2011).
What would your choice of test depend on? For the test you select, explain your design and your comparison groups.

My choice test would depend on the population size being tested because a big population could then be reduced into smaller, more manageable groups to be studied. The t-test does not allow for the comparison and testing of different groups like the ANOVA does. ANOVA would be appropriate for the analysis on a new blood pressure drug because it has the ability to study several components (such as potential risk factors) than are not possible in the limited Z and A test

Would the hypothesis be directional or non-directional?
The hypothesis would be directional if the hypothesis (new drug) raises or lowers a person’s blood pressure. This suggests that as the drug receives more exposure, a person’ blood pressure would go higher or lower.

Would the test be one-tailed or two-tailed?
Since the study concerns only one particular drug not several and has only one independent variable, the test would be one-tailed.

What would be the null and what would be the alternative hypothesis?
Based off of four tested population samples, my null hypothesis examples would be: H0: µ1 = µ3 = µ4. My alternative hypothesis would then be HA: not so. I say this because population means are not the same due to several dissimilar alternative hypotheses.

References
Tanner, D. (2011). Statistics for the Behavioral & Social Sciences. San Diego: Bridgepoint Education, Inc.