1.0 Introduction This report will cover the distribution of final exam results for BSB123 and what factors influence the results. Factors that will be considered are the gender of the student, whether the student is studying a double or single degree, the results from the weekly quiz’s and the grade achieved on the mid semester report. The presence of outliers will be determined to help analyse the accuracy of the data. There are an infinite number of internal and external factors that contribute to the outcome of a single exam result. Beaty, & Barling (1982) explains how factors such as stress and anxiety can contribute to low test results and they give several self help solutions of how to boost ones success. This report will …show more content…
4.3 Quiz Results Analysing the effect that the weekly quiz results have on the final exam results can help to understand if high quiz results mean high exam results. Figure 5.0 The data in the above scatter plot shows that there is a correlation between the quiz results and the exam results. R² = 0.536, which indicates that about 54% of the variation in the average of the quiz is accounted for the linear relationship with the exam results. In other words, about 46% of the variation is not explained by the least-squares regression line. 4.4 Report Results The last exam factor that will be addressed in the bivariate section is the impact of the results from the mid semester report on the exam results. Figure 6.0 The correlation between the report results and the final exam results in not over whelming storage. The trend line in the graph can be seen as slopping upward from left to right showing that. It can be seen that the majority of students that achieved well on the report also achieved well on the exam 5.0 Trivariate analysis Trivariate analysis compares tree factors against each other in order to help better understand the exam out comes. 5.1 Degree vs. Exam & Quiz Figure 7.0 Figure 7.0 states that students who are doing a double degree achieve higher marks compared to the students who are doing a single degree. On average it can be seen that over
However, we must perform some analysis on this data to confirm that the results for our class really are significantly different from the average. To do this, we performed a chi-square analysis on our data. Our chi-square value is 14.733, and the degrees of freedom are 6. The resulting p-value falls between 0.05 and 0.02. Therefore, we conclude that the data from our class indeed does not fit the average.
(c) The mean of the sample and the value of Z with an area of 5% in the left tail.
8. Analyze: How does the standard deviation relate to the consistency and range of a data set?
The reliability of an assessment in a perfect situation should produce the same results if marked by another tutor or if that examiner unknowingly receives the same paper again. If different marks are given the assessment is consequently unreliable and proves that this assessment is subjective.
We can use z-table instead of t-table because the standard deviation comes from the population.
Rubric: The quiz is worth 25 points. Each selected-response question is worth 1 point. The student will receive 1 point for selecting the correct answer. Each constructed-response is worth 5 points. In order to receive all 5 points for each constructed response, the student must fulfill the criteria below. The minimum passing score is 19 out of 25
It was found that the more a student attempted a quiz, that higher the student’s grade on the quiz became. There are several reasons that take credit for this. The first reason is that taking a quiz for the first time gives a student a better idea of the material that the quiz covers, so if a student attempts the quiz again he/she will be more prepared. The second reason is
Analysis of the data yielded a correlation of 0.51 and variance of 0.26. In other words, 26% of the variance in the Keystone exam scaled score is predicted by the CDT scaled score. When used to predict future performance on the Keystone exam, the use of the t statistic would refute the existence of a connection between the CDT score and that of the Keystone score. An assumption that the predicted means for the 2014 – 2015 Keystone score and the actual Keystone score produced a P value less than 0.001. This is far smaller than the required 0.05 and requires us to accept the alternate hypothesis, that the means are not connected. The final comparative component demonstrated that the CDT accurately predicted student success or lack there of in 57% of all cases. In the remaining 43% of erroneous predictions, the CDT predicted that students would not succeed when in fact, they did 70% of the time. In other words, for 13% of all students, the CDT erroneously predicted student success in Operations with Real Numbers and Expressions when they in fact did not meet
Internal validity of this study included data collection process and student personal interest in education. For example, students may have scored in exam because they concern about their own education. Reliability of this study instrument has not been tested. This is the first time this group will have this survey. There is no former survey to use as a standard to see if there are many changes.
The student data file was used as the data source. The sample size included one hundred men and one hundred women. Thirty-five out of one hundred men had not declared for a degree. Fifteen out of one hundred women had not declared for a degree. The level of
These results indicate that students tend to score higher in the practical portion of the exam than they do in the theory portion. However, all students earned at least a B average. Thus, prior assessment recommendations were
These are the automatically computed results of your exam. Grades for essay questions, and comments from your instructor, are in the "Details" section below. Date Taken: 9/28/2014
It's that time of year again, the last few weeks college. You have been on time to every class session and have managed to add a few points to your normal course average. Just a few more weeks to go and you will be on your way to a well needed vacation, which you have carefully spent the last couple months planning. There is only one thing that stands in the way, final exams. Just as every student before you and every student that will come after you, final examinations can be very frustrating and stressful. Proper testing preparation combined with skilled testing strategies can help anyone overcome those examination nightmares.
Chisom had trouble with the material covered on our second test of trigonometry topics, but improved by almost 40% on the final test of this subject. This is a good sign because the last test required knowledge with which she previously had difficulty. Because the most difficult topics of the year are behind us, Chisom still has a good chance of attaining her goal of exempting the final exam. She just needs to continue the good work habits she has used all year long.
In this case, level of significance, α was not provided. Therefore, the analysis will be evaluated based on two α values which are: