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RSCH FPX 7864 Assessment 4 Data Analysis and Application Template

Student Name Capella University RSCH-FPX 7864 Quantitative Design and Analysis Prof. Name Date Data Analysis and Application TemplateData Analysis Plan In the present analysis, two variables were identified: “Section” and “Quiz3.” “Section” represents distinct class sections, while “Quiz3” is a continuous variable indicating the number of correct answers on Quiz 3. The research question guiding

RSCH FPX 7864 Assessment 3 ANOVA Application and Interpretation

Student Name Capella University RSCH-FPX 7864 Quantitative Design and Analysis Prof. Name Date ANOVA Application and Interpretation The independent t-test investigates the association between gender (independent variable) and GPA (dependent variable). Gender is categorical, while GPA is continuous. The research inquiry delves into the influence of gender on GPA levels. The null hypothesis posits that

RSCH FPX 7864 Assessment 2 Correlation Application and Interpretation

Student Name Capella University RSCH-FPX 7864 Quantitative Design and Analysis Prof. Name Date Data Analysis Plan Understanding the Relationship Between Past and Present Performance The exploration of the association between past and present performance can provide valuable insights into the consistency and trajectory of student learning. A student’s previous grade point average (GPA) serves as

RSCH FPX 7864 Assessment 1 Descriptive Statistics

Student Name Capella University RSCH-FPX 7864 Quantitative Design and Analysis Prof. Name Date Introduction Descriptive statistics are essential for summarizing datasets, whether encompassing an entire population or a sample. This analytical approach involves measures of central tendency, such as the mean, median, and mode, as well as measures of variability, including standard deviation, variance, minimum