Unit 6, Assignment 1. Name Institution Section 1: Data File Description The academic performance in class is measured through the exam metrics such as the GPA. However, the GPA may show the performance but not the several factors that define the overall outcome of the GPA. Some of the factors that may affect the GPA score is gender. This paper seeks to find out if there is any relationship between gender and the GPA performance. The dataset used in the analysis is the grades.dat; it was used to analyze the performance of the students in the GPA and the final. The dataset includes information collected from the survey of 105 students and includes variables such as performance and demographic variables. The variable GPA measures the performance …show more content…
The Correlation coefficient=0.523. This correlation relies on the assumption that the variables are normally distributed, and that there is no presence of outliers. Statistics GPA final N Valid 105 105 Missing 0 0 Skewness -.053 -.334 Std. Error of Skewness .235 .235 Kurtosis -.811 -.334 Std. Error of Kurtosis .468 .468 The table shows that the in the data set, the GPA variable is a left skewed distribution of -.053 and a left kurtosis of -.811. The final variable indicates that the left skewed distribution stands at -.334 and a left kurtosis of -.334. Section 3: Research Question, Hypotheses, and Alpha level Research Question: Is there a relationship between the performance at the GPA and the final? Null Hypothesis: There is no difference between the GPA performance and the final. On the Asymptomatic significance test, the significance level is 0.05. Table showing the hypothesis summary Hypothesis Test Summary Null Hypothesis Test Sig. 1 Median of differences between the GPA and the final equals 0 Related-samples Wilcoxon Signed rank test .000 Reject the null hypothesis Section 4: Interpretation Table Showing the Correlation output: Correlations GPA final gender total gpa Pearson Correlation 1 .499** -.193*
After the normalization module the request is passed on to the Protocol Validation and Analyzer module where it is matched against the semantic rules that are generated by ontological models in the knowledge base for identifying malicious content in input validation. Protocol Validation module caters to the violation of protocol specification whereas the Analyzer handles all other web application attacks. If the input content matches any of the rules the request is blocked and a log is made for the said attack. Also in protocol validation attacks, an attacker tries to send an abnormal request that does not follow the RFC 2616 (Hypertext, 2014) standards.
There are several things that I appreciate from this class: \begin{enumerate} \item[1] \[ u_t=Ku_{xx}+Q\] To solve the above equation most of the time (For the sake of simplicity) we set $K=1$. This is how I solved similar type of equations in my undergraduate study. But you explained the importance of K. You said, for a small rod, K is not that important as in airplane (K is a material property). I will never forget this. I'm really interested studying PDE and to see the world through mathematics and then work for a new invention.\\ \item[2] You have introduced short and sweet ways of simplifying.
The low income classes had different gender and race gaps than wealthier classes. Students that were from lower income classes had less gaps in academic achievement between race and gender. The students that were from wealthier classes had more gaps between students of different races and genders. It is interesting to see that the combination of different factors changes the result of the study. If the study were to focus only on race, the results would be very different.
Use your results in Data Table 2 to support your answer.
2.539 reject null since our t value of 4.316 > than critical t of 2.539, we reject the null hypothesis which states that there is no significant difference between the means on the quiz between those who did online research and those who watched a movie. Therefore, from the higher mean of 19.55, students who studied online scored significantly higher on the quiz. Question 8 Refer back to your SPSS output from Assessment 4 Question 3. Based on that output, what is the 95 percent confidence interval of the difference?
How does gender inequality in education affect sub-saharan Africa? Education plays a crucial role in promoting the development of a country as well as helping individuals to reach their potentials for society. In 2017, the United Nations made quality education as one goal that all countries should try to attain, because education is the key to achieving sustainable development of a country(Goal 4). For quality education, education for female is also very significant, because girls take a large proportion of the population of the society.
They will be randomly selected among entrants of proficiency exam at the beginning of the academic year. In order to avoid the differences can be occur due to socioeconomic status, the students from middle class will be used in the analysis. The participants will be informed about the procedure through letters of explanation and consent forms, and their personal information will be kept confidential. Procedure The students consist of 50 males and 50 females will be given the questionnaires in a private location in the campus during the first semester of the academic year.
Will there be differences between male and female students in regard to character strengths. Operational definition Academic achievement is operationalized as Grade point average (GPA) or percentage. Method This study employs quantitative method. The tools for collecting data will be VIA-IS Questionnaire (Peterson & Seligman, 2005), WAIS-IV and Grade point average (GPA) or Percentage of students.
End Value Starting Value Pearson Correlation 1 .602 Sig. (2-tailed) .065 N 10 10
A student questionnaire was also included. Follow up t‐tests were conducted and descriptive statistics were used to determine for which outcome variables the groups differed. Cohen’s d was used to report effect sizes. Results from the MANOVA indicated that gender accounted for less than 1 per cent of the reading achievement (η2 = .006). Follow‐up between‐subjects effects for gender showed girls’ average performance to be superior for all nine outcome variables (Table 1, Column 1).
Students are most essential asset for any educational institute. The social and economic development is directly linked with student academic performance. The students’ performance plays an important role in producing the best quality graduates who will become great leader and manpower for the country thus responsible for the country’s economic and social development. Student academic performance measurement has received considerable attention in previous research, it is challenging aspects of academic literature, and science student performance are affected due to social, psychological, economic, environmental and personal factors. These factors strongly influence on the student performance, but these factors vary from person to person (Irfan Mushtaq and Shabana Nawaz
Our independent variable would be the external factors that affect a student’s commitment to a degree program in their first year of college. The dependent variable would be the lack of gender equity in the number of men and women who choose to study a STEM field. Although female students make up 54% of all university students, only a small percentage of these females study the STEM courses compared to the males. Female students account for the larger number of students enrolling into higher institutions, but there is still a very low entry into STEM courses, and this is going to bring about a decline in the total number of students entering into STEM courses in the future.
Analysis of information The analysis in this report relied heavily on excel models. These consisted of a series of spreadsheet-based data input tables that allowed data to be collected in a systematic manner. 5.8.10 Descriptive statistics: Descriptive statistics are used to describe the basic features of the data in a study.
Situational Analysis An educator is a lifelong learner. They do not just expect their students to be lifelong learners, but they to stay current and on top of what’s new in education. Even though they may still use the same lesson plan for years before, they know how to change it to keep up-to-date with what is current. A great educator knows gender differences.
Their study took into account a variety of factors that can diminish a student’s academic performance. An undergraduate study done by Neumann et