Please review the attached assignment, this is a group project that I will be completing solo. I just need your hlp completing the first tasks that must be completed individually. if you are willing to help complete the powerpoint as well I owuld greatly apppreciate it and we could discuss a price. Thank you!
Review each assignment tutorial
and template. See the chart below for the specific documents nyou should be
reviewing and downloading. The tutorial will provide information on how to use
the SPSS software for each assignment. Use the techniques that you gained from
the tutorial to
complete the template.
Return to (rent.com) and choose two zip codes in two NON-neighboring states and collect ONLY the price data from ten rental properties in each zip code using a systematic sample (choose every 4th home listed in each zip code). Determine what your hypothesis will be.
Run an ANOVA to test if there is a significant difference between the two zip codes in terms of the average rental price.
Present your findings and discuss if you were surprised by the results. Include a discussion as to whether the ANOVA test verified your hypothesis and if there were any surprises.
Submit your findings on a word document with a minimum 350-word analysis of your findings. Your submission should have a minimum of 2 references.
Subject is discussed in paper provided below.
Analysis on NHANES data must be done in R and final document must be written in R Markdown.
Literature review regarding NHANES data and Asthma.
Please include all code written either in final rmarkdown file or in a separate file.
Student handbook file included below gives details of what is needed (Pages 5 and 6), as does Instructions file.
Sections to possibly include in analysis:
Subsetting of NHANES data
Reconstructing dataset and renaming of all relevant variables
Dealing with missing values
Several types of models including Linear regression, Logistic regression, Machine learning, neural networks, random forest
If suitable: Linear discriminant analysis, quadratic discriminant analysis, K nearest neighbours etc. If these are not suitable could explain why.
Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients.
You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and their size in square feet. You have been provided with a Real Estate Data spreadsheet that includes properties sold nationwide in recent years. The team has asked you to select a region, complete an initial analysis, and provide the report to the team.
Note: In the report you prepare for the sales team, the response variable (y) should be the listing price and the predictor variable (x) should be the square feet.
Specifically you must address the following rubric criteria, using the Module Two Assignment Template:
Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.
Report the mean, median, and standard deviation of the listing price and the square foot variables.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Summary Statistics and Graphs Real Estate Data document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?
Is there an association between x and y? Describe the association you see in the scatter plot.
What do you see as the shape (linear or nonlinear)?
If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at?
Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?
What do they represent?
You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics and/or square footage. The video may use different national statistics or solve for different square footage values.
MAT-240 Module 2 Assignment
You can also use the following tutorials for support as you develop the report:
Downloading Office 365 Programs
Random Sampling in Excel
Scatterplots in Excel
Descriptive Statistics in Excel
Guidelines for Submission
Submit your completed Module Two Assignment Template as a Word document that includes your response, supporting charts, and Excel file.
For this Assignment, you complete the Correlation Statistics Worksheet, which gives you step-by-step instructions on how to conduct and interpret the finding of a Pearson correlation in SPSS. After you have conducted the descriptive statistic, write the results in APA format. An example is provided in the worksheet.
• From your data set, identify two or more variables between or among which you want to see a relationship.
• Complete the Correlation Statistics Worksheet, which is found in the Learning Resources.
Salkind, N. J., Frey, B. B. (2020c). Statistics for people who (think they) hate statistics (7th ed.). Sage.
• Chapter 5, “Computing Correlation Coefficients: Ice Cream and Crime” (pp. 75-102)
Submit the completed Correlation Statistics Worksheet attached.
Post your responses to the following:
• Explain how correlations function.
• Explain how understanding correlations may help you better understand a population.
This assignment must be a minimum of 400 words in length. Please double space and use a 12-pt font.
The submission is expected to be well-written, meeting college level writing standards, with a minimum
of three resources. Cite all sources used in meeting the assignment requirements using APA formatting.
Find an example of an actual application of statistics. You may use a video clip found online (a news clip, interview, etc. or an article about a topic of interest that includes statistics.
The source must clearly
use statistics in addressing the topic and explain the application of statistics to the issue. The article must
be included with the submission, and the article/video link must be included in works cited.
Write an introduction paragraph. Define statistics. Provide one or two sentences broadly describing the
example situation that applies statistics. Include one or two sentences about why you chose this case.
Summarize the example in detail, stating the type of statistics used and explain them in your own words.
Focus on questions such as:
• What kind of statistics were used?
• What do they mean in the context of the situation?
• How were they applied to provide solutions or insights?
• Any other relevant information appropriate to include.
Next, consider what you have learned and compare it to the example. How does the
example demonstrate what you learned? How does it help you to understand statistics? What questions do
you still have about the application?
Be sure to write a brief conclusion statement as its own paragraph.
This will be a PowerPoint presentation. Select a research article in which biomedical instrumentation ( PLEASE SEE ATTACHMENT FOR THE ARTICLE CHOSEN) was used to collect physiological data. Review and critique the article.
Evaluate whether the data collected using the instrumentation were valid,
accurate, and reliable. Determine whether the results of the reviewed study are
appropriate to apply to clinical practice. Read the description of the instrument in the journal article.
What key characteristics are outlined about the instrument? What types of
reliability and validity were used, and what is your interpretation of them?
Note: SPSS allows you to set an option so the syntax code is saved in the output or you can paste code directly into a syntax window by clicking the mouse on ‘Paste’ before running a procedure. Then save the syntax window into a syntax file (really a txt file that can be copied into Word) before ending the SPSS session.
The Assignment: (1 page of narrative plus charts and SPSS syntax code)
Description of the steps you took to conduct your statistical analyses.
Summary of your statistical ***
Tables and graphs (Be careful – too many tables and graphs decreases clarity)
Be sure to include your SPSS codebook as well as the syntax code used in SPSS to conduct your statistical analyses. The page length of your code may vary according to the types of analyses conducted.
**Please include the following header on this Assignment.**
One simple statement for each. This helps you and the instructor keep track of what you are attempting.
***Note: Do not attempt to explain your results in this section; only report your findings.
*READ ATTACHED FILE*
For this assignment, you will be conducting your own qualitative research analysis.
INSTRUCTIONS: You will conduct “field research” at a setting of your choice. You can attend a sporting event, concert,
coffee shop, or grocery store, or you can stay home and observe your family, watch a video on YouTube, etc. As an
ethnographer, I want you to (1) create field notes, (2) code your notes, and (3) write up a short analysis of your findings.
Your field notes do not need to be extremely long (about 1 page). Following the textbook examples for how to code and analyze your notes. Your analysis can be 1-2 paragraphs max. The goal for this assignment is to demonstrate your understanding of the basic processes of qualitative data analysis.