Category: Statistics

Instructions
Using the Food
Affordability Dataset addressing
food affordability, develop one program question that can be answered with a
descriptive analysis. Then, perform the descriptive analysis. Be sure to
include the JASP/Excel/SPSS output and report the findings using APA-compliant
format. To achieve maximum credit on this criterion, you must both accurately
identify, perform, and thoroughly report the program question and descriptive
statistical findings using APA-compliant format.
Next, develop two program questions that can be answered with
inferential analyses. Then, perform both inferential analyses. Be sure to
include the JASP/Excel/SPSS output and report the findings of your two
inferential analyses using APA-compliant format. To achieve maximum credit on
this criterion, you must both accurately identify, perform, and thoroughly
report the program questions and inferential statistical findings using
APA-compliant format.
Describe the practical significance of the findings in terms of
a program evaluation. This might include explaining the direction and magnitude
of a relationship between two continuous variables analyzed with correlation
analysis, or perhaps reporting the R-squared value in terms of variance
explained. These are just two examples: any practical significant explanation
will suffice.
After you describe the practical significance of your findings,
you will need to determine one or more potential ethical risks for the program
questions posed, then describe one or more potential mitigation strategies to
address the ethical risk(s).
Once you have gathered this information, submit a final Word
document that includes a header for each required component of this assignment.
Use these provided headers (in APA-compliant format) for each section:
1.     Descriptive Analysis.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
2.     Inferential Analysis #1.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
5.     Chart or Graph.
3.     Inferential Analysis #2.
1.     Program Question.
2.     Data Description.
3.     Statistical Analysis.
4.     Interpretation and Report.
4.     Practical Significance.
5.     Ethical Risk(s).

Research Question: “Are individual differences in
introspective ability reflected in the anatomy of brain regions responsible for
this function?”
The researcher is hypothesizing that introspective ability
may produce (cause) bigger brain, but this an observational research study.
This hypothesis is speculation only.  Cannot be proved with this
observational study.  
Make
a scatterplot suitable for predicting volume from introspective ability.
What is the squared correlation r?
For
regression inference, we estimate two parameters among others: Intercept
(α), and Slope (β). From the output, what are the estimates of these
parameters?
What
is the equation of the least-squares regression line of volume on
introspective ability? 
What
is the confidence interval for the slope of the population regression
line?
What
does the slope tells us about the relationship between introspective
ability and brain volume? 
The
slope tells us something different from the correlation coefficient. 
Explain the difference. 
Checking assumptions underlying regression analysis:
Plot
the standardized residuals against the standardized predicted values. This
is called a residual plot. Any curvilinear pattern in the distribution of
residuals? 
Create
a histogram of residuals. Is there any evidence that the residuals are not
normally distributed? 
Are
the observations (rows) in the data set view independent? Explain.
Any
indication of heteroscedasticity, or distribution of residuals get bigger
or smaller at each of the predicted values? 

To complete this assignment, you will need to have completed unit one homework (chapters 1, 2, & 3). You may watch Make a histogram for help with making a histogram. 
Assignment Instructions
You will find a link to our compiled data set of student temperature data here temperature data summer 21. Using Microsoft Excel, complete #1 and 2 then answer the remaining questions. 
In Excel, construct a relative frequency distribution with a class width of 0.5 and lower class bounder of class one equal to 96.5. Upload the spreadsheet into the eLearn dropbox.
In this same spreadsheet file, construct an appropriate histogram for all the temperature data. You must give it a title. You must also label and appropriately number your axes. Here is a sample of a title and labels.Thinking about our student temperate data set, does body temperature represent discrete or continuous data? Explain.
Calculate the mean, median, and mode of the temperature data. 
Calculate the 5 number summary of the temperature data. 
If the population mean for body temperatures in the US is 97.5 degrees Fahrenheit with a standard deviation of 0.7 degrees Fahrenheit, calculate and interpret the standardized score for someone with a body temperature of 98.6 ̊ F. Show your work.
Calculate and interpret the z-score for your body temperature. Provide a detailed explanation of your calculations or show your work.

Hello,
I already did first 2 questions. The correct tables are already in the document. 2 references please

pick a topic that would do well with showing a positive or negative correlation and why then show the work

Overview: For this Midterm project, you will be collecting and analyzing data on the daily high temperatures during the month of JANUARY 2024 for two cities from the list below, one chosen from the United States options and one chosen from the International options. You will use this information to compare the two cities and make inferences on the true average high temperature during the month of JANUARY for these cities.
I have attached the list of cities below.
Please open and read through this entire document first: Midterm Project Instructions
Please see this Midterm Project Sample for an idea of what I’m looking for with this.
Note: This sample project is meant to help you out, but you should not copy it word for word and should instead try to write things up in your own words. Some portions will sound very similar to what I have, but you need to make sure you are really looking at YOUR data and what IT shows/says, not simply copying what I have provided here.
NOTE: Make sure you include (or separately upload) your dataset. 
Resources:
Midterm Project Template:
This should help you get started with the formatting for your submission. You may write up our own if you wish, but should keep things in the same order. If you want to change the font on the first page to make it look the way you want, please feel free to do so!
Midterm Project Template (Word)Download Midterm Project Template (Word)
This is the preferred template.
Make sure you fill in/delete any of the highlighted portions before submitting.
Midterm Data Template: (Includes help with the OPTIONAL/BONUS GRAPH)
This is meant to help you organize your data. You may type in the values and it *should* generate the OPTIONAL/BONUS GRAPH for you. You will not need to submit this file, but you may copy and paste the columns to the end of your Midterm Project Template where I ask for you datasets.

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.

Hello Bro,
I need assistance with Stats Week 4
Will send once matched, just give yr best as always Cheers

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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.