Correlation of academic test scores and hours of study

Write 10 pages thesis on the topic the correlation between academic test scores and hours of study. The study has been undertaken to determine the correlation between a number of hours of study and academic test score. Moreover, it intends to ascertain if there are significant differences in both hours of study and academic test scores on the basis of gender. As such, the following are the hypotheses tested in the current research: The research takes on a quantitative approach, mainly gathering numerical data on two variables: hours of study and academic test scores. Two other variables have been gathered, namely, gender and grade. Gender has two levels, male and female. There are also two levels for a grade, Grade 12 and Grade 13. There are a total of 40 respondents for the study, which have been selected randomly. There are 20 males and 20 students from each of Grades 12 and 13. Random sampling has been used to ensure that the sample that is yielded is representative of the whole population of interest. Thus, valid conclusions may be garnered. The randomly selected students were asked to explicitly give consent for their participation in the study. They were asked through phone interviews about the variables of interest, namely, the number of hours of study and academic performance scores. All the data have been manually encoded through Excel, and then transferred to SPSS 15.0, through which these were analysed statistically.Descriptive statistics were computed to be able to describe the characteristics of the sample used in the study. These include the mean, median, and mode which are measures of central tendency. The standard deviation has likewise been computed. There are two parametric tests that have been used to test the hypotheses.&nbsp.To be able to determine if there is a significant correlation between the hours of study and academic test scores, the Pearson product-moment correlation coefficient has been used. This measure of correlation is utilized if both variables of interest have been measured in the interval scale. Moreover, the t-test for two independent groups has been computed to ascertain the difference between males and females, in both hours of study and academic test scores.

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