Chat with us, powered by LiveChat THE FIRST LINK IS WHERE I INSERTED THE TABLES ALREADY ALL YOU WILL NEED TO DO IS PUT THE EXPLANATION UNDER BOTH OF THE TABLES EXPLAINING THEM THE SECOND LINK IS THE DATA INSTRU - EssayAbode

## 31 Jan THE FIRST LINK IS WHERE I INSERTED THE TABLES ALREADY ALL YOU WILL NEED TO DO IS PUT THE EXPLANATION UNDER BOTH OF THE TABLES EXPLAINING THEM THE SECOND LINK IS THE DATA INSTRU

THE FIRST LINK IS WHERE I INSERTED THE TABLES ALREADY ALL YOU WILL NEED TO DO IS PUT THE EXPLANATION UNDER BOTH OF THE TABLES EXPLAINING THEM

THE SECOND LINK IS THE DATA INSTRUCTIONS ON WHAT THE DATA SHOULD REPRESENT.

### Step 1: Write Section 1 of the DAA: The Data Analysis Plan

• 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 total and final.
• State a research question, null hypothesis, and alternate hypothesis for gpa and quiz1.

### Step 2: Write Section 2 of the DAA: Testing Assumptions

Test for one of the assumptions of correlation – normality.

• Create a descriptive statistics table in statistical software to assess normality. This table should include the four variables named above, including skew and kurtosis for each variable.
• Paste the table in the DAA Template.
• Interpret the skewness and kurtosis values and determine whether the assumption of normality was violated or not violated.

### Step 3: Write Section 3 of the DAA: Results and Interpretation

• Using the statistical software, paste the intercorrelation matrix for the four variables into the document.
• Below the output, first report the total-final correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.
• Second, report the gpa-quiz1 correlation including degrees of freedom, correlation coefficient, and p value. Specify whether or not to reject the null hypothesis for this correlation.

### Step 4: Write Section 4 of the DAA: Statistical Conclusions

• Provide a brief summary of your analysis and the conclusions drawn about correlations.
• Analyze the limitations of the statistical test and/or possible alternative explanations for your results.

### Step 5: Write Section 5 of the DAA: Application

Analyze how you might use correlations in your field of study.

• Name two variables that would work for such an analysis and why studying the relationship may be important to the field or practice.

Submit your DAA template as an attached Word document in the assignment area.

## Competencies Measured

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and assignment criteria:

• Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
• Analyze statistical assumptions.
• Competency 2: Analyze the decision-making process of data analysis.
• Articulate the data analysis plan.
• Competency 3: Apply knowledge of hypothesis testing.
• Interpret statistical results and hypotheses.
• Competency 4: Interpret the results of statistical analyses.
• Explain statistical conclusions, the limitations of the test, and possible alternative explanations.
• Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
• Analyze the potential applications of the test in the field and their implications.
• Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
• Communicate in a manner that is scholarly, professional, and adheres to APA style and formatting.

## Competencies Measured

By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:

• Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
• Analyze statistical assumptions.
• Competency 2: Analyze the decision making process of data analysis.
• Articulate the data analysis plan.
• Competency 3: Apply knowledge of hypothesis testing.
• Interpret statistical results and hypotheses.
• Competency 4: Interpret the results of statistical analyses.
• Explain statistical conclusions, the limitations of the test, and/or possible alternative explanations.
• Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
• Analyze the potential applications of the test in the field and their implications.
• Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
• Communicate in a manner that is scholarly, professional, and adheres to APA style and formatting.

Running head: DATA ANALYSIS AND APPLICATION TEMPLATE 1

1

Data Analysis and Application Template

## Capella University

Data Analysis and Application Template

Data Analysis Plan

Insert text here.

Testing Assumptions

.

 Descriptive Statistics quiz1 gpa total final Skewness -0.851 -0.220 -0.757 -0.341 Std. Error of Skewness 0.236 0.236 0.236 0.236 Kurtosis 0.162 -0.688 1.146 -0.277 Std. Error of Kurtosis 0.467 0.467 0.467 0.467

Results & Interpretation

 Pearson's Correlations Variable quiz1 gpa total final 1. quiz1 Pearson's r — p-value — 2. gpa Pearson's r 0.152 — p-value 0.121 — 3. total Pearson's r 0.797 *** 0.318 *** — p-value < .001 < .001 — 4. final Pearson's r 0.499 *** 0.379 *** 0.875 *** — p-value < .001 < .001 < .001 — * p < .05, ** p < .01, *** p < .001

Insert text here.

Statistical Conclusions

Insert text here.

Application

Insert text here.

# References

Provide references in proper APA Style if necessary.

,

7864 Data Set Instructions The 7864 data set is fictional data. The data represents a teacher’s recording of student demographics and academic performance across three sections of their course. Each course section consists of about 35 students (N = 105).

The data set is located on grades.jasp. You can download grades.jasp from the 7864 assignments instructions area. It will then open in JASP. There are 21 variables in the course data set. Refer to the table below.

Scale of JASP variable Definition Values measurement

id Student identification number Nominal

lastname Student last name Nominal

firstname Student first name Nominal

1 = woman; 2 = man; 3 = transgender; 4 = non-genderidentity Student gender identity Nominal binary/non-conforming; 5 = prefer not to disclose

1 = Native American; 2 = Asian; ethnicity Student ethnicity 3 = Black; 4 = White; 5 = Nominal

Hispanic

1 = freshman; 2 = sophomore; year Class rank Ordinal

3 = junior; 4 = senior

lowup Lower or upper division 1 = lower; 2 = upper Nominal

section Class section

gpa Previous grade point average Scale

extcr Did extra credit project? 1 = no; 2 = yes Nominal

review Attended review sessions?

quiz1 Quiz 1: number of correct answers

quiz2 Quiz 2: number of correct answers Scale

Nominal

1 = no; 2 = yes Nominal

Scale

quiz3 Quiz 3: number of correct answers Scale

quiz4 Quiz 4: number of correct answers Scale

1

Scale of JASP variable Definition Values measurement

quiz5 Quiz 5: number of correct answers Scale

Final exam: number of correct final Scale answers

total Total number of points earned Scale

percent Final percent Scale