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correlation application and interpretation assignment with 5 sections consisting of questions. The template is attached labeled (PSY-FPX7864) and the reference for the spss data is in the attached...

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correlation application and interpretation assignment with 5 sections consisting of questions. The template is attached labeled (PSY-FPX7864) and the reference for the spss data is in the attached grades.sav file. The spss variables are :
Quiz 1Quiz 1: number of correct answers
GPAPrevious grade point average
TotalTotal number of points earned in class
FinalFinal exam: number of correct answers


The DAA Template has five sections

In Step 1:

  • Name the four variables used in this analysis and whether they are categorical or continuous.
  • State a research question, null hypothesis, and alternate hypothesis for one X-Y pair. For example, you could articulate a research question, null hypothesis, and alternate hypothesis for quiz1 (X) and final (Y).
Step 2:Testing Assumptions

Test for one of the assumptions of correlation—normality.

  • Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above.
  • Paste the table in the DAA Template.
  • Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated.
Step 3: Results and Interpretation

In Step 3:

  • Paste the SPSS output of the intercorrelation matrix for all specified variables:
    • First, report the lowest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
    • Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.
    • Third, report the correlation between GPA and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.
  • Interpret statistical results against the null hypothesis, and state whether it is accepted or rejected.
Step 4:Statistical Conclusions

In Step 4:

  • Provide a brief summary of your analysis and the conclusions drawn.
  • Analyze the limitations of the statistical test.
  • Provide any possible alternate explanations for the findings and potential areas for future exploration.
Step 5: Application

In Step 5:

  • Analyze how you might use correlations in your field of study.
  • Name an independent variable and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.


Answered 1 days AfterMar 07, 2022

Solution

Atreye answered on Mar 09 2022
73 Votes
Step 1:
Name the four variables used in this analysis and whether they are categorical or continuous.
The four variables are as below:
· Quiz 1
· GPA
· Total
· Final
All variables are continuous as they can take unlimited number of values between the lowest and highest points of measurement.
State a research question, null hypothesis, and alternate hypothesis for one X-Y pair. For example, you could articulate a research question, null hypothesis, and alternate hypothesis for quiz1 (X) and final (Y).
Consider GPA as X variable and Final as Y variable.
The null and alternative hypothesis can be stated as below:
Null hypothesis: There is no significant co
elation between GPA and Final.
Alternative hypothesis: There is significant co
elation between GPA and Final.
Step 2:
Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above. Paste the table in the DAA Template. Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated.
For variable quiz1 and total the skewness is -0.851 and -0.757 respectively which lies within -0.5 to 0.5 which implies these variables are approximately normally distributed.
For variable gpa and final the skewness is -0.220 and -0.341 respectively which implies that they are not normally distributed.
For variable quiz1 the kurtosis value is 0.162 which is very close to 0, which implies it is normally distributed. For gpa and final, the kurtosis is -0.688 and -0.277 which are less than 0 so it has platykurtic distribution and total has 1.146 kurtosis which is greater than 0 which implies it has mesokurtic distribution.
So it can be concluded with respect to skewness and kurtosis, the variable quiz is normally distributed.
Step 3:
Paste the SPSS output of...
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