Download this Excel File and open it on your system. When you open it, you should see this image. I already attached the file and I will list the steps in order Step 2:
Click on the Data Tab at the on the top of screen and open Data Analysis ToolPak and scroll to “Correlation” Step 3.
Once you select Correlation and click OK, you will see the following:
NOTE: In the above example, I have highlighted the Var1 Column and the Var 2 Column. Once you click OK, a sheet will open showing the correlation matrix. Note that the first row contains the Labels so the box is clicked.
Step 4
Once you run the correlation, you should see the following:So, the correlation between Var 1 and Var 2 is .776. It is reported as r2 = .776
Step 5
The correlation window allows you to run multiple variables at the same time. So you can select as many columns as you would like to do a correlation. In other words, you can run all the columns at once. What you will get is a matrix showing you all available correlations. In the sample shown in the image, Var1 to Var 4 columns are selected. Go ahead and run that. Step 6
Once your run that correlation you will get a matrix in the Sheet below that shows all possible correlations. It should look something like this:
Th Corrlation betwe Var and Var 3 is .699 for example. I have blocked out a red box for the correlation between Var 2 and Var 4. Report that correlation as your response to this assignment and confirmation that you were able to complete the analyses. That’s it. Correlations are straightforward to run. We will talk about the interpretation some more in class.
Category: Statistics
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Assignment Title: Analyzing Correlations in an Excel Spreadsheet
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“Stats Week 4: Analyzing Data and Making Inferences”
Hello Bro,
I need assistance with Stats Week 4
Will send once matched, just give yr best as always Cheers -
Calculating Mean and Variance from Frequency Distribution
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“Post-Divorce Alimony Reduction: Strategies for Job Search and Career Rebuilding for Older Workers”
Case Study:
(PLEASE DO NOT WRITE A ONE PAGE PAPER – I NEEDED TO SUBMIT THE REQUIREMENTS THAT WAY SO I COULD GET THROUGH THE SYSTEM AND SUBMIT THE INSTRUCTIONS). Please review the actual instructions below carefully.
This is a post divorce motion for reduced alimony due to Mr. Bolinder laid off in a company. He’s been looking for a job and really wants to find one and requires help with that.
– Research jobs in his field (provide research and the trends of his previous jobs)
– Research on older workers who were “let go” and statistics on difficulty in “Return to Work” and labor earnings.
– list 30-40 job openings that fit his education and work history. -
Title: “Interpreting the Scatterplot: Exploring the Relationship between Happiness and Sustainability”
Interpret the scatterplot Answer the prompt questions in the attached rubric
There is also a video attached to this rubric “The Happy Planet”
There is not a required length for this paper as long as all the required information is present. -
“Exploring the Relationship Between Property Size and Listing Price in the Real Estate Market”
Scenario
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.
Prompt
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 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 PDF document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above. Include a trend line and the regression equation. Label the axes.
Observe patterns
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. -
Title: Understanding the Importance and Application of Statistics in Psychology and Other Fields
Four discussion questions/posts. The textbook used is Essentials of Statistics for the Behavioral Sciences by Gravetter, F. J., Wallnau, L. B., Forzano, L. B., & Witnauer, J. E. (2021). Essentials of statistics for the behavioral sciences (10th ed.). Cengage. ISBN-13: 9780357365298. Read Chapters 1 and 2 in Essentials of Statistics for the Behavioral Sciences. Review Chapters 1 and 2 PowerPoint presentations. A substantive post is 150 words minimum, incorporates information from the course materials/readings or personal experience, and adds something new to the conversation that others can learn from.
DQ1: Why is it important to learn statistics in the study of psychology? Give three examples to support your answer. Include in your answer how descriptive and inferential statistics are used in psychology?
You may use your textbook to support your reasoning.
DQ2: What career are you pursuing/doing? How is statistics important in your field? Make sure to be as specific as possible. (pursuing: Behavioral Health Science/counseling and doing: teacher Assistant)
DQ3: This is a two-part discussion question. Each part needs to be completed to earn full points. Throughout your academic career you have read and learned about numerous scientific experiments and discoveries; some of these were empirical studies. Select an empirical study related to a science concept you learned about in high school or from Intro to Psychology (e.g. Pavlov’s dogs, Mendel and genetics). The concept should be one you found fascinating. Part 1: Share why you selected the concept. Part 2: Find two empirical studies related to that concept and for each, identify on what scale they measured their variables of interest: nominal, ordinal, interval or ratio. Why did you come to this conclusion? (Make sure you are including an APA citation for each article!)
DQ4: Creating an actual survey that is effective for gathering the correct data can take a long time. What are some of the key things that need to be considered as you create one?
ADDITIONAL RESOURCES
Gravetter, F. J., Wallnau, L. B., Forzano, L. B., & Witnauer, J. E. (2021). Essentials of statistics for the behavioral sciences (10th ed.). Cengage. ISBN-13: 9780357365298. Read Chapters 1 and 2
Review “Frequency Distribution” from the WolframMathWorld website. https://mathworld.wolfram.com/FrequencyDistribution.html
Review “Summarizing Distributions,” by Lane, from Online Statistics Education: An Interactive Multimedia Course of Study. https://onlinestatbook.com/2/summarizing_distributions/summarizing_distributions.html -
“May 22, 2024 Exam Instructions and Submission Requirements”
You will be taking an exam on May 22, 2024. The exam will be taken on Canvas from 4 to 7 p.m. A username and password will be provided to log into the exam. You will need to submit proof of work when submitting the exam. There are six questions unless the professor changes them on exam day.
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“Examining the Effects of Familiarity on Face and Object Recognition: A SPSS T-Test Analysis”
It is a lab report using SPSS and t-test. The experiment was done indivitually using computers we had to recognise faces and objects.
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“Analyzing Statistics: A Deeper Look into Data” In the first video, “The Power of Data Visualization,” I was fascinated by the way data can be transformed into visual representations that are easier to understand and interpret. The use of colors,
Respond to these statistics videos. The minimum word count to get credit for this post is 200 words which is a sentence or two about what you thought about each video.
https://www.youtube.com/watch?v=uzlioK5UzQ0