1.
The researchers found a significant difference between the two groups (control and treatment)
for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F
(1, 22) = 9.619, p = 0.005. Discuss each aspect of these results.
The F value suggests there is a significant difference between the results of the control and
treatment groups. The P-value of 0.005 is < the alpha of 0.05.This suggest that the groups are
significantly different and the null hypothesis should be rejected.
2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of
the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for
the difference between the two groups in change in mobility scores over 12 weeks? Provide a
rationale for your answer.
Treatment group mean=control group mean
With the p-value being < the alpha, the null hypothesis would be rejected indicating the
difference in the mean mobility scores.
3. The researchers stated that the participants in the intervention group reported a reduction in
mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?
The p-value of 0.005 suggests that the results are statistically significant.
4. If the researchers had set the level of significance or α = 0.01, would the results of p = 0.001
still be statistically significant? Provide a rationale for your answer
Yes 0.001 is the α of 0.01; the null hypothesis would be accepted
5. If F (3, 60) = 4.13, p = 0.04, and α = 0.01, is the result statistically Significant? Provide a
rationale for your answer. Would the null hypothesis be accepted or rejected?
In this case the result would not be considered statistically significant because 0.04 > 0.01. In
this case, the null hypothesis would be accepted and it would be concluded that there is no
difference between the control and treatment groups.
6. Can ANOVA be used to test proposed relationships or predicted correlations between
variables in a single group? Provide a rationale for your answer.
* ANOVA tests differences in relationships among and within groups. To do this, the test
requires more than one sample group. ANOVA cannot be used in this situation.
7. If a study had a result of F(2, 147) = 4.56, p = 0.003, how many groups were in the study, and
what was the sample size?
The sample size was 149, split into 2 separate groups.
8. The researchers state that the sample for their study was 28 women with a diagnosis of OA,
and that 18 were randomly assigned to the intervention group and 10 were randomly assigned
to the control group. Discuss the study strengths and/or weaknesses in this statement.
For assignment help email
The researchers found a significant difference between the two groups (control and treatment)
for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F
(1, 22) = 9.619, p = 0.005. Discuss each aspect of these results.
The F value suggests there is a significant difference between the results of the control and
treatment groups. The P-value of 0.005 is < the alpha of 0.05.This suggest that the groups are
significantly different and the null hypothesis should be rejected.
2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of
the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for
the difference between the two groups in change in mobility scores over 12 weeks? Provide a
rationale for your answer.
Treatment group mean=control group mean
With the p-value being < the alpha, the null hypothesis would be rejected indicating the
difference in the mean mobility scores.
3. The researchers stated that the participants in the intervention group reported a reduction in
mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?
The p-value of 0.005 suggests that the results are statistically significant.
4. If the researchers had set the level of significance or α = 0.01, would the results of p = 0.001
still be statistically significant? Provide a rationale for your answer
Yes 0.001 is the α of 0.01; the null hypothesis would be accepted
5. If F (3, 60) = 4.13, p = 0.04, and α = 0.01, is the result statistically Significant? Provide a
rationale for your answer. Would the null hypothesis be accepted or rejected?
In this case the result would not be considered statistically significant because 0.04 > 0.01. In
this case, the null hypothesis would be accepted and it would be concluded that there is no
difference between the control and treatment groups.
6. Can ANOVA be used to test proposed relationships or predicted correlations between
variables in a single group? Provide a rationale for your answer.
* ANOVA tests differences in relationships among and within groups. To do this, the test
requires more than one sample group. ANOVA cannot be used in this situation.
7. If a study had a result of F(2, 147) = 4.56, p = 0.003, how many groups were in the study, and
what was the sample size?
The sample size was 149, split into 2 separate groups.
8. The researchers state that the sample for their study was 28 women with a diagnosis of OA,
and that 18 were randomly assigned to the intervention group and 10 were randomly assigned
to the control group. Discuss the study strengths and/or weaknesses in this statement.
For assignment help email
