A dependent t-test can also be referred to as a paired sample t-test. One of its greater functions is that it can be used in mean comparisons between related or similar subjects. A condition that the data set to be tested must satisfy the test assumption for it to be varied. The assumptions are the observed data set are from a similar subject and the subject population should be normally distributed. The main aim is to test if there is any difference in the two means of the subject under consideration. To state the hypothesis, we must have a problem statement, which necessitates the test to be carried out. The problem statement is: are the result scores, on average, increased after a creative writing course? The researchers own speculation about the difficulty of the test is defined by two statements (Field, 2009).
They include: -The null and alternative hypothesis as follows,
- Ho: m = 0 (There is no significant difference between the means) Null hypothesis
- H1: m â‰ 0 (There is a significant difference between the means) Alternative hypothesis
From the computation results that were given, the significance value is 0.011 and the confidence interval of the means is lower â€“ 5.623, upper â€“ 0.777, therefore indicating that there is a significant difference between the mean, the null hypothesis is rejected in favor of the alternative hypothesis. There is also the presence of a notable difference in result scores. This is usually after the student has undergone a creative writing course.
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