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PSY 7864 Capella University Data Analysis & Application Template Research Paper
Instructions Complete the following for this assignment: You will complete this assignment using the Data Analysis and App ...
PSY 7864 Capella University Data Analysis & Application Template Research Paper
Instructions Complete the following for this assignment: You will complete this assignment using the Data Analysis and Application template (DAA Template [DOC]).Refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC] for additional information on using SPSS for this assignment.If necessary, review the Copy/Export Output Instructions [HTML]
to refresh your memory on how to perform these tasks. Your submission
should be in narrative format with supporting statistical output (table
and graphs) integrated into the narrative in the appropriate places (not
all at the end of the document).As you work on this assignment, you may find the Data Set Instructions [DOC] helpful. You will analyze the correlations among the following variables in the grades.sav data set: section.quiz3. Step 1: Write Section 1 of the DAA: The Data Analysis Plan. Briefly describe the goal of your analysis.State your research question, null, and alternate hypothesis.Specify the variables used in this analysis (predictor, outcome) and the scale of measurement of each variable.State the sample size (N) and the alpha level you will use (.05 unless otherwise specified).Explain why the analysis is a good choice based on the nature of your variables. Step 2: Write Section 2 of the DAA: Testing Assumptions. Articulate and test the assumptions of ANOVA.Paste the SPSS histogram output for quiz3 and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste the SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste the SPSS output for the Shapiro-Wilk test of quiz3 and interpret it.Report the results of the Levene test and interpret it.Explain whether the assumptions of ANOVA are met. If assumptions
are not met, discuss how to ameliorate violations of the assumptions. Step 3: Write Section 3 of the DAA: Results and Interpretation. Paste the SPSS output of the means plot and provide an interpretation.Also report the means and standard deviations of quiz3 for each level of the section variable.Paste the SPSS ANOVA output and report the results of the F test. Include the following
Degrees of freedom.F value.p value.Calculated effect size.Interpretation of the effect size.Finally, if the omnibus F is significant, provide the SPSS post-hoc (Tukey HSD) output.Interpret the post-hoc tests. Interpret statistical results against the null hypothesis and state whether it is accepted or rejected. Step 4: Write Section 4 of the DAA: Statistical Conclusions. 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: Write Section 5 of the DAA: Application. Analyze how you might use this statistical approach in your field and what the potential implications would be. Submit your DAA template as an attached Word document in the assignment area.Readings Read about how to apply your knowledge of ANOVA and run some analyses in SPSS. George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York, NY: Routledge.
Chapter 12, pages 159–168, describes how to run an ANOVA in SPSS. Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Thousand Oaks, CA: Sage.
Review Chapter 12’s information on post hoc procedures and output from one-way ANOVAs to help you with your assignment. The 7864 Course Study Guide [PDF] highlights
content to focus on as you read and absorb the materials. You may also
find some additional articles with direct relevance to your field here.
8 pages
Answer To Statistics Assignment
Categorical data refers to the information that arranges a perception as having a place with at least one classification. ...
Answer To Statistics Assignment
Categorical data refers to the information that arranges a perception as having a place with at least one classification. It should be run in order to ...
(Lesson 13) Graphing Exponential and Logarithmic Functions, continued
Complete the following questions. (PLEASE WRITE ANSWERS IN A WORD DOCUMENT!!) -- LINK -- http://ogburn.org/wp-content/uplo ...
(Lesson 13) Graphing Exponential and Logarithmic Functions, continued
Complete the following questions. (PLEASE WRITE ANSWERS IN A WORD DOCUMENT!!) -- LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg-I...
6 pages
Work Upload Statistics
Instructions: For this graded assignment, you will complete the write-up below after completing the corresponding tutorial ...
Work Upload Statistics
Instructions: For this graded assignment, you will complete the write-up below after completing the corresponding tutorial to this assignment. You ...
Scaling Up Fractions and Mixed Numbers in Your World
Write a story problem using mixed numbers that need to be scaled up. The problem shouldhave at least five mixed numbers th ...
Scaling Up Fractions and Mixed Numbers in Your World
Write a story problem using mixed numbers that need to be scaled up. The problem shouldhave at least five mixed numbers that will be scaled up. Be sure to show all your work, explain yoursteps in your solution (including changing improper fractions to mixed numbers), and write a completeanswer to your problem. Your answer should include units for the mixed numbers, if needed.
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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PSY 7864 Capella University Data Analysis & Application Template Research Paper
Instructions Complete the following for this assignment: You will complete this assignment using the Data Analysis and App ...
PSY 7864 Capella University Data Analysis & Application Template Research Paper
Instructions Complete the following for this assignment: You will complete this assignment using the Data Analysis and Application template (DAA Template [DOC]).Refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC] for additional information on using SPSS for this assignment.If necessary, review the Copy/Export Output Instructions [HTML]
to refresh your memory on how to perform these tasks. Your submission
should be in narrative format with supporting statistical output (table
and graphs) integrated into the narrative in the appropriate places (not
all at the end of the document).As you work on this assignment, you may find the Data Set Instructions [DOC] helpful. You will analyze the correlations among the following variables in the grades.sav data set: section.quiz3. Step 1: Write Section 1 of the DAA: The Data Analysis Plan. Briefly describe the goal of your analysis.State your research question, null, and alternate hypothesis.Specify the variables used in this analysis (predictor, outcome) and the scale of measurement of each variable.State the sample size (N) and the alpha level you will use (.05 unless otherwise specified).Explain why the analysis is a good choice based on the nature of your variables. Step 2: Write Section 2 of the DAA: Testing Assumptions. Articulate and test the assumptions of ANOVA.Paste the SPSS histogram output for quiz3 and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste the SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them.Paste the SPSS output for the Shapiro-Wilk test of quiz3 and interpret it.Report the results of the Levene test and interpret it.Explain whether the assumptions of ANOVA are met. If assumptions
are not met, discuss how to ameliorate violations of the assumptions. Step 3: Write Section 3 of the DAA: Results and Interpretation. Paste the SPSS output of the means plot and provide an interpretation.Also report the means and standard deviations of quiz3 for each level of the section variable.Paste the SPSS ANOVA output and report the results of the F test. Include the following
Degrees of freedom.F value.p value.Calculated effect size.Interpretation of the effect size.Finally, if the omnibus F is significant, provide the SPSS post-hoc (Tukey HSD) output.Interpret the post-hoc tests. Interpret statistical results against the null hypothesis and state whether it is accepted or rejected. Step 4: Write Section 4 of the DAA: Statistical Conclusions. 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: Write Section 5 of the DAA: Application. Analyze how you might use this statistical approach in your field and what the potential implications would be. Submit your DAA template as an attached Word document in the assignment area.Readings Read about how to apply your knowledge of ANOVA and run some analyses in SPSS. George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York, NY: Routledge.
Chapter 12, pages 159–168, describes how to run an ANOVA in SPSS. Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Thousand Oaks, CA: Sage.
Review Chapter 12’s information on post hoc procedures and output from one-way ANOVAs to help you with your assignment. The 7864 Course Study Guide [PDF] highlights
content to focus on as you read and absorb the materials. You may also
find some additional articles with direct relevance to your field here.
8 pages
Answer To Statistics Assignment
Categorical data refers to the information that arranges a perception as having a place with at least one classification. ...
Answer To Statistics Assignment
Categorical data refers to the information that arranges a perception as having a place with at least one classification. It should be run in order to ...
(Lesson 13) Graphing Exponential and Logarithmic Functions, continued
Complete the following questions. (PLEASE WRITE ANSWERS IN A WORD DOCUMENT!!) -- LINK -- http://ogburn.org/wp-content/uplo ...
(Lesson 13) Graphing Exponential and Logarithmic Functions, continued
Complete the following questions. (PLEASE WRITE ANSWERS IN A WORD DOCUMENT!!) -- LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg-I...
6 pages
Work Upload Statistics
Instructions: For this graded assignment, you will complete the write-up below after completing the corresponding tutorial ...
Work Upload Statistics
Instructions: For this graded assignment, you will complete the write-up below after completing the corresponding tutorial to this assignment. You ...
Scaling Up Fractions and Mixed Numbers in Your World
Write a story problem using mixed numbers that need to be scaled up. The problem shouldhave at least five mixed numbers th ...
Scaling Up Fractions and Mixed Numbers in Your World
Write a story problem using mixed numbers that need to be scaled up. The problem shouldhave at least five mixed numbers that will be scaled up. Be sure to show all your work, explain yoursteps in your solution (including changing improper fractions to mixed numbers), and write a completeanswer to your problem. Your answer should include units for the mixed numbers, if needed.
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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