The work is resolved i need help to make 2 simple adjustments-will share solution after matching
1. dot map on the united states. and a heat map
2. fix the variables in the text to show the tuition %
The work is resolved i need help to make 2 simple adjustments-will share solution after matching
1. dot map on the united states. and a heat map
2. fix the variables in the text to show the tuition %
Assignment Eight
Logistic Regression
Explain what logistic regression analysis is. Chose a data set and perform a logistic regression analysis on relevant variables. Presentation must include logistic regression statistics.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Josh Starmer, StatQuest: Linear Models Pt. 1 – Linear Regression
|
The Completed Assignment Could Be Like This. I. Discussion about logistic regression analysis a. What is logistic regression analysis? b. What is logistic regression used for in statistical analysis? II. Statistical analysis a. Identify a data set. Figure One Data looks like this in the statistics program. b. Identify variables that you are analyzing with logistic regression analysis. c. Write a few sentences about why logistic regressions analysis of these d. report the output from the statistical program Figure Two a logistic regression analysis |
Assignment Seven
Non-Parametric Statistics
Discuss non-parametric statistics. Include a discussion of at least two non-parametric procedures. Use some sample data and analyze the data with non-parametric statistics. Present the results of your statistical analysis and explain the conclusions logistic regression allows about the data you have chosen to analyze.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Chi-Square Calculator –
|
The Completed Assignment Could Be Like This. I. Discussion about Non-Parametric Statistics a. What information is presented in a non-parametric analysis? b. How do non-parametric statistics assist comprehending a phenomenon being studied? c. Non=parametric statistics are inferential statistics. How is this different than a descriptive statistic? d. What is the “p statistic” and what does the statistic prove? How are p statistics obtained with a non-parametric statistical procedure? e. mention specific non-parametric procedures such as chi square II. Statistical analysis a. identify a data set Figure One Data for ANOVA analysis looks like this in the statistics program. b. complete statistical procedure on the data c. report the output from the statistical program Figure Two a chi-square analysis d. Write a paragraph about the statistics program output. e. Discuss the implications of the “p statistic. |
Assignment Six Analysis of Variance
Analysis of variance is somewhat different than a t-test. Explain the difference. Choose a data set and some variables and conduct and ANOVA. Include in your presentation some data representations of you ANOVA analysis.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
One-Way ANOVA [Analysis of Variance] simply explained
ANOVA (Analysis of Variance) Analysis FULLY EXPLAINED!!!
|
The Completed Assignment Could Be Like This. I. Discussion about ANOVA a. What information is presented in an ANOVA analysis b. How does ANOVA assist comprehending a phenomenon being studied? c. Since ANOVA is an inferential statistic, how is this different than a descriptive statistic? d. What is the “p statistic” and what does the statistic prove? II. Statistical analysis a. identify a data set Figure One Data for ANOVA analysis looks like this in the statistics program. b. complete statistical procedure on the data c. report the output from the statistical program Figure Two an ANOVA analysis d. Write a paragraph about the statistics program output. e. Discuss the implications of the “p statistic.” |
Assignment Five Analysis of Categorical DataContingency Tables-Cross Tabs
Discuss how categorical data is analyzed. Choose a data set and do a contingency analysis of some variables.
Produce cross-tab tables and include these in your presentation.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Two-Way Tables in Statistics – Links to an external site.
|
The Completed Assignment Could Be Like This. I. Discussion about contingency tables which are alternative named cross tabs tables a. What information is presented in a contingency table? b. How do contingency tables assist comprehending a phenomenon being studied? II. Statistical analysis a. identify a data set Figure One Data for cross tabs analysis looks like this in the statistics program. b. complete statistical procedure on the data c. report the output from the statistical program Figure Two a contingency table alternatively called a cross tabs table d. write a paragraph about the statistics program output. |
Assignment Four – Correlations and Regressions
Correlations
Explain what correlation analysis is. Chose a data set and perform a correlation analysis on relevant variables. Presentation must include correlation statistics and graphs.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Correlation Coefficient –
Linear Regession – Links to an external site.
|
The Completed Assignment Could Be Like This. I. Discussion about correlations a. What are correlations? b. What are correlations used for in statistical analysis? II. Statistical analysis a. Identify a data set. Figure One Data looks like this in the statistics program. b. Identify variables that you are going to correlate. c. Write a few sentences about why correlating these d. report the output from the statistical program Figure Two a correlational analysis of education and family income Figure Three a graphical representation of a correlational analysis of education and family income Figure Four a second graphic representation of a correlational analysis education and family income |
Regressions
Explain what regression analysis is. Chose a data set and perform a regression analysis on relevant variables. Presentation must include regression statistics and graphs.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Linear Regession – Links to an external site.
|
The Completed Assignment Could Be Like This. I. Discussion about regressions a. What are regressions? b. What are regressions used for in statistical analysis? II. Statistical analysis a. Identify a data set. Figure One Data looks like this in the statistics program. b. Identify variables that you are analyze with regression analysis. c. Write a few sentences about why regressions analysis of these d. report the output from the statistical program Figure Two a regression analysis of education and family income Figure Three a graphical representation of a regression analysis of education and family income Figure Four a second graphic representation of a regression analysis education and family income |
Assignment Three
T-tests
Discuss what t-tests are. Explain the difference between one and
two-tailed t-tests. Explain the usefulness of your t-test findings
for statistical analysis. Download Applied Statistics from the link below as a reference.
Chose a data set and perform a t-test analysis on the data set.
Present the statistical analysis and include anything else you want from the data analysis output.
References
Phil Crewson, Applied Statistics, a Desktop Statistics Reference
Normal Distribution –
Hypothesis Tests – t-Tests
Difference between means and two sample t-test –
Difference between paired means – t-test –
T Distribution Calculator –
|
The Completed Assignment Could Be Like This. I. Discussion about t-tests a. What are t-test used for? b. Why t-test are inferential not descriptive statistics? c. What is the difference between the various types of t-tests? II. Statistical analysis a. identify a data set Figure One Data looks like this in the statistics program. b. complete statistical procedure on the data c. report the output from the statistical program Figure Two two sample difference of the mean t-test Figure Three paired sample t-test |
This person is responsible for creating visuals in
Tableau that are specific to their case. We will expect the visuals to be professional and
more sophisticated than just basic bar graphs; the specifics of this are outlined in the
Tableau trainings. This person should have completed and scored well on the 3 Tableau
discussions and be interested in data visualization.
This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
and 2) that is included in the Data Visualization Specialist training section on D2L
AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
These can be completed while you wait for the Data Analyst to clean the data and
share it with you.
Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
Either in the report, on the Tableau, or both, you need 2 things:
o Explanation of what the visuals are and how to use them
o Some example insights from the visuals
Make sure to include the visuals asked for in the case!
Some variety of types of visuals explored
General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
fits (not ending in …), not a ton of white space, no generic titles, etc.
Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.
o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
This section is unique and is primarily the responsibility of the Data Visualization Specialist.
First, the data visualizations should be created using Tableau with input from the rest of the
team and with special collaboration with the Data Analyst. Once you are happy with it, it
should be posted to one of the group members Tableau Public profiles.
o Note, based on the limited time constraints of the project, what is observed and
found in the visual does NOT have to be the same as the Data Analyst. You can make
two separate recommendations overall with one being from the visuals and the
other being from the advanced regression model.
o Make sure to review the best practices we have at the end of each Tableau
discussion assignment.
Once you have complete visualizations, please include a brief description with any key
takeaways/insights within the report and then hyperlink to your final visual which only
needs to be included on one members Tableau Public profile.
The visuals should be relatively complex and utilize features and techniques discussed in the
training(s). Basic bar graphs that dont include any extra functionality will not earn you
many points.
previous tableau examples:
Requirements: 4 dashboards | .doc file
This person is responsible for creating visuals in
Tableau that are specific to their case. We will expect the visuals to be professional and
more sophisticated than just basic bar graphs; the specifics of this are outlined in the
Tableau trainings. This person should have completed and scored well on the 3 Tableau
discussions and be interested in data visualization.
This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
and 2) that is included in the Data Visualization Specialist training section on D2L
AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
These can be completed while you wait for the Data Analyst to clean the data and
share it with you.
Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
Either in the report, on the Tableau, or both, you need 2 things:
o Explanation of what the visuals are and how to use them
o Some example insights from the visuals
Make sure to include the visuals asked for in the case!
Some variety of types of visuals explored
General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
fits (not ending in …), not a ton of white space, no generic titles, etc.
Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.
o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
This section is unique and is primarily the responsibility of the Data Visualization Specialist.
First, the data visualizations should be created using Tableau with input from the rest of the
team and with special collaboration with the Data Analyst. Once you are happy with it, it
should be posted to one of the group members Tableau Public profiles.
o Note, based on the limited time constraints of the project, what is observed and
found in the visual does NOT have to be the same as the Data Analyst. You can make
two separate recommendations overall with one being from the visuals and the
other being from the advanced regression model.
o Make sure to review the best practices we have at the end of each Tableau
discussion assignment.
Once you have complete visualizations, please include a brief description with any key
takeaways/insights within the report and then hyperlink to your final visual which only
needs to be included on one members Tableau Public profile.
The visuals should be relatively complex and utilize features and techniques discussed in the
training(s). Basic bar graphs that dont include any extra functionality will not earn you
many points.
previous tableau examples:
Requirements: 4 dashboards | .doc file
This person is responsible for creating visuals in
Tableau that are specific to their case. We will expect the visuals to be professional and
more sophisticated than just basic bar graphs; the specifics of this are outlined in the
Tableau trainings. This person should have completed and scored well on the 3 Tableau
discussions and be interested in data visualization.
This person is required to first watch the Group Project – Tableau Tutorial (Pts. 1
and 2) that is included in the Data Visualization Specialist training section on D2L
AND the Tableau Level-Up workshops (Pts 1 and 2) linked in the same folder.
These can be completed while you wait for the Data Analyst to clean the data and
share it with you.
Make sure the Tableau is hyperlinked in the document as shown in the trainings (not just the URL)
Either in the report, on the Tableau, or both, you need 2 things:
o Explanation of what the visuals are and how to use them
o Some example insights from the visuals
Make sure to include the visuals asked for in the case!
Some variety of types of visuals explored
General professionalism: avoid typos, consistent font, pieces lined up, no overlapping pieces, text that
fits (not ending in …), not a ton of white space, no generic titles, etc.
Make sure to include some of the advanced features shown in the trainings: actions, buttons, sets,
dynamic titles, filters that affect multiple visuals, visuals inside a tooltip, advanced formatting, etc.
o You dont need all of these, but at least a few of them to get full pointsData Exploration using Tableau
This section is unique and is primarily the responsibility of the Data Visualization Specialist.
First, the data visualizations should be created using Tableau with input from the rest of the
team and with special collaboration with the Data Analyst. Once you are happy with it, it
should be posted to one of the group members Tableau Public profiles.
o Note, based on the limited time constraints of the project, what is observed and
found in the visual does NOT have to be the same as the Data Analyst. You can make
two separate recommendations overall with one being from the visuals and the
other being from the advanced regression model.
o Make sure to review the best practices we have at the end of each Tableau
discussion assignment.
Once you have complete visualizations, please include a brief description with any key
takeaways/insights within the report and then hyperlink to your final visual which only
needs to be included on one members Tableau Public profile.
The visuals should be relatively complex and utilize features and techniques discussed in the
training(s). Basic bar graphs that dont include any extra functionality will not earn you
many points.
previous tableau examples:
Requirements: 4 dashboards | .doc file