Question

The null hypothesis states there will be no difference in scores on the ADS between those...

The null hypothesis states there will be no difference in scores on the ADS between those who receive the standard treatment program and those who receive the standard treatment program plus Mindfulness Therapy.

The output from the analysis is below. The results are t(19) = 1.554, p = .137.

Paired Sample Statistics

Mean N Std Deviation Std. Error Mean

Pair 1 Standard

Std. Mindfulness

12.8000

10.9500

20

20

3.81962

4.28553

.85409

.95827

Paired Samples Correlations

N Correlations Sig
Pair 1 Standard- Std. Mindfulness 20 .141 .554

Paired Samples Test

Paired Differences
Mean Std. Deviation Std. Error Mean

95 Confidence interval of the Difference

Lower

 T df Sig. (2- tailed)
Pair 1 Standard-Std. Mindfulness 1.85000 5.32398 1.19048 Lower -.64170 upper 4.34170 1.554 19 .137

What type of study design is used? Please explain.

Does the study design accurately test the null hypothesis?

Is the correct statistical test used to analyze the data? Why? Why not?

Regardless of whether or not the correct statistical test was used, are the results statistically significant? Social science research uses a p-value of .05 to determine statistical significance.

Does the researcher reject or fail to reject the null hypothesis?

What are the implications of the results for the study and the counseling field?

Math   Statistics-And-Probability   
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Homework Answers

Answer #1

There is matched pairs and the one variable is dependent on each other. That is why we say it is paired study design.

Hypothesis for this study design would be as followed:

H0: µdiff=0

H1: µdiff<0

Yes, the accurate test is used to test the design because data is kind of dependent, so we will use paired t-test for that which we had as mentioned above.

As per the given output, our sig. value is 0.137 which is larger than 0.05 and according to the decision rule of statistics when p-value> 0.05 then the result is not statistically significant, Hence, our result is not statistically significant.

Since, the result is not statistically significant researcher would be fail to reject the null hypothesis.

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