RSCH FPX 7864 Assessment 4 Data Analysis and Application Template

RSCH FPX 7864 Assessment 4 Data Analysis and Application Template

Name

Capella University

RSCH-FPX 7864 Quantitative Design and Analysis

Prof. Name

Date

Data Analysis and Application Template

In this article, we will explore the analysis of academic data to understand the relationship between quiz performance and overall GPA (Grade Point Average). By examining key variables such as Quiz 1, GPA, Total points, and Final exam scores, we aim to shed light on significant correlations that can inform educational strategies and student performance assessments.

Research Questions and Hypotheses

The primary objective of this study is to investigate two critical research questions regarding the relationships among academic performance variables:

1. What is the relationship between Quiz 1 scores and GPA?

   • Null Hypothesis (H0): There is no relationship between Quiz 1 scores and GPA.
   • Alternative Hypothesis (H1): There is a relationship between Quiz 1 scores and GPA.

2. What is the relationship between the total number of points in the class and the number of correct answers on the Final exam?

   • Null Hypothesis (H0): There is no relationship between the total points in the class and the Final exam scores.
   • Alternative Hypothesis (H1): There is a relationship between the total points in the class and the Final exam scores.

Data Analysis Plan

The data used in this study was sourced from a JASP file, focusing on four continuous variables: Quiz 1, GPA, Total points, and Final exam scores. The analysis aims to determine if these variables are correlated and if they support or reject the proposed hypotheses.

Testing Assumptions

Descriptive Statistics

Before delving into the correlation analysis, it is essential to assess the normality of the data. Here are the descriptive statistics for each variable:

• Quiz 1:
  • Skewness: -0.851
  • Kurtosis: 0.162
• GPA:
  • Skewness: -0.220
  • Kurtosis: -0.688
• Total Points:
  • Skewness: -0.757
  • Kurtosis: 1.146
• Final Exam Scores:
  • Skewness: -0.341
  • Kurtosis: -0.277

The skewness values for all variables range between -2 and +2, indicating that the assumption of normality is met.

Results and Interpretation

Pearson Correlation Coefficients

To investigate the relationships between the variables, we employed Pearson’s correlation analysis. The results are as follows:

• Significant correlations were observed:
  • Quiz 1 and GPA (r = 0.152, p = 0.121) indicate a weak correlation.
  • Quiz 1 and Total points (r = 0.797, p < .001) reveal a strong positive correlation.
  • Total points and Final exam scores (r = 0.875, p < .001) also indicate a robust positive relationship.

Statistical Conclusions

The findings suggest that while Quiz 1 scores exhibit a weak correlation with GPA, they show a significant and strong correlation with Total points and Final exam scores. This implies that performance in Quiz 1 could be a predictor of overall academic success when assessed alongside other performance metrics.

Implications for Educational Practices

Understanding these relationships can help educators tailor their teaching strategies to improve student outcomes. By focusing on enhancing quiz performance, institutions may positively influence overall GPA and final exam results, leading to better academic achievements.

RSCH FPX 7864 Assessment 4 Data Analysis and Application Template

References

If necessary, include references in proper APA style to support the research and data analysis presented in this study.