In a clinical trial cluster sampling could be used to select individuals from a similar geographic area.
19-a
20-B
21-B
22-C
23-B
24-C
25-B
26-B
27-B
28-C
29-a
30-a
31-a
32-a
33-a
34-a
35-B
Quiz 2
1-True
2-False
3-True
4-False
5-False
6-True
7-True
8-False
9-True
10-False
11-True
12-True
13-False
14-False
15-False
16-B
17-D
18-C
19-a
20-D
21-C
22-B
23
H0 is the null hypothesis and it generally states that there is no difference or no change. H1 is the alternative hypothesis or the researcher hypothesis and is generally the opposite of the null hypothesis. Hypothesis testing centers on the acceptance and rejection of the null hypothesis.
24.
In most clinical research studies the researcher would use a one-tailed test. This is so for two basic reasons the first is that one tailed tests are more powerful and the second is that theoretically the researcher is usually aware of the direction in which the change is expected...
This level of significance is appropriate because you would want to ensure that the treatment is actually working. A lower level of significance would mean a higher risk of rejecting the null when it is true (Aron, Coups & Aron 2011). This would mean a greater risk of putting a product on the market that does not work. .05 is too high a risk to take, for replacing the standard treatment.
26
The alpha level for this would be 0.05. This alpha level is adequate because the outcome of a type one error would not be dire. The probability of rejecting the null when the null is true would be only 5% and the issue here does not warrant a more stringent approach.
27.
Step 1 Ho Mu=200
H1 Mu > 200
Step 2
The alpha level would be 0.05
T=1.66
Step 3
Conduct a one sample t-test
One Tailed test
Xbar-X/s/Square root n
217-200/39/sqt 100
17/3.9
t=4.36
df=99
Step 4
Compare tobs to t crit
4.36 is larger than 1.66
We therefore reject the null hypothesis
Conclusion- the serum levels in the sample is of concern, it is significantly higher than normal.
28
Step 1
Hu-Mu=200
H1-Mu
