A researcher conducts a test on the effectiveness of a cholesterol treatment on 114 total subjects. Assuming the tails of distributions are normal distribution, is there evidence that the treatment is effective? What is the Null and alternative hypothesis.
Normal distribution not needed. Can do Chi-square (X^2) test.
https://www.google.com/search?client=safari&rls=en&q=chi+square+calculator&ie=UTF-8&oe=UTF-8&gws_rd=ssl
Lacking data. What was the mean and standard deviation of the change in cholesterol levels?
PsyDAG this is all the information that was given in the class.
A researcher conducts a test on the effectiveness of a cholesterol treatment on 114 total subjects. Assuming the tails of distributions are normal distribution, is there evidence that the treatment is effective?
Cholesterol Decreased No Cholesterol Decrease Total
Treatment 38 18 56
No treatment 30 28 58
Total 68 46 114
A researcher conducts a test on the effectiveness of a cholesterol treatment on 114 total subjects. Assuming the tails of distributions are normal distribution, is there evidence that the treatment is effective? What is the Null and alternative hypothesis.
A researcher conducts a test on the effectiveness of a cholesterol treatment on 114 total subjects. Assuming the tails of distributions are normal distribution, is there evidence that the treatment is effective?
Cholesterol Decreased
No Cholesterol Decrease
Total
Treatment
38
18
56
No treatment
30
28
58
Total
68
46
114
To determine if there is evidence that the cholesterol treatment is effective, the researcher needs to set up the null and alternative hypotheses.
The Null Hypothesis (H0): The cholesterol treatment is not effective or has no impact on reducing cholesterol levels in the subjects.
The Alternative Hypothesis (Ha): The cholesterol treatment is effective and does have an impact on reducing cholesterol levels in the subjects.
To test the null hypothesis, the researcher would typically use a statistical test, such as a t-test or a z-test, depending on the sample size and assumptions. The test would compare the means or proportions of the treatment group with that of a control group or the population mean.
In this case, the researcher conducted a test on 114 total subjects. If the researcher has measurements of cholesterol levels before and after the treatment, they could use a paired t-test. If measurements were taken only after the treatment, they could use an independent t-test.
The specific steps and calculations to test the hypothesis require more information about the test results, such as the sample means, standard deviations, and significance level. With these details, it would be possible to perform the statistical test and determine if there is evidence to reject the null hypothesis in favor of the alternative hypothesis.