Friday, August 23, 2019

Descriptive Statistics Coursework Example | Topics and Well Written Essays - 500 words

Descriptive Statistics - Coursework Example Another group of data was collected using nominal scale. This was data on the marital status of respondents. The researcher thought it prudent to collect data on the marital status of respondents because it is common knowledge that the marital status of a person may affect his or her learning in one way or the other. The reason why this is so, is that marriage changes the usual personal roles of a person in one way or the other (Fuchs et al, 1997). The data collected on the marital status of respondents was computed and have been displayed below. From the data presented above, it can be seen that majority of the respondents are not married. Their percentage is 58%, which is more than half of the total sample size. This was followed by 14% who were married and 5% who were widows. The least percentage was 2% representing those who are divorced. Using a likert scale, the researcher collected a nominal data (Danielle 2009; Cheng, 2009) on the impact of a 2-tier curriculum on student performance. Respondents were given closed ended alternatives to select their responses from. It would be noted that a close ended question gives respondents specific answers from which they have to make a choice (Choi et al, 2008). The choice of answers given to respondents were indicated as insignificant, slightly significant, significant and very significant. In order to be able to use the SPSS in finding the mean of the responses, the answers were scored as 1, 2, 3 and 4 respectively. The over all responses have been represented in the table below. Judging from the responses in the table and as computed with the SPSS, it can be said that there are many respondents who root for the use of 2-tier curriculum as an intervention for improving the academic performance of students. This is judged from the fact that the mean score as computed was more than the average score (Gardener, 2008). Choi, K., Hoff, C.,

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