Category: Statistics

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?

The most common abuse of correlation in studies is to confuse the concepts of correlation with those of causation.
Examples:
No correlation: Height of a student and good grades
The height of a student has no relationship to good grades.
A correlation but not causation: Good SAT scores and good grades
Many times, you will find students with good SAT scores also making good grades, but good SAT scores do not cause good grades. Many times there are other variables, such as good study habits, that contribute to both.
Causation: Study time and good grades
The amount of time a student studies does CAUSE grades to be GOOD. Note: Causation statements are not the same as a statement in logic. For example: If you jump in a swimming pool, you will get wet. If you don’t jump in the swimming pool, you will not get wet. This will occur all the time if the pool is full of water. Causation is a little different. If you study, you are not guaranteed good grades. If you don’t study, you are not guaranteed bad grades. We still can say that study time is one major cause of good grades. Assignment:
The following response was generated by Chat GPT in response to the prompt, “Find an example of an article that that relates two variables. Is the article stating that the two variables are correlated or that they have a causal relationship?”
Read the response and answer the following questions:
Do you agree with the statements regarding the correlation or causation of the variables? Why or why not? Do you think that a leader’s character has an impact on an organization’s performance, as this response suggests? Why or why not?
The response states that in addition to a leader’s character, other variables, such as organizational culture and strategy, also play a part in the organization’s performance. List three additional leadership attributes not included in the Chat GPT response that you believe may play a part in organizational performance. Explain why you think these three attributes might contribute positively to the organization’s performance. There is an article referenced in the Chat GPT response. Look up the article. What do you notice? Is this something that is typical of Chat GPT?
Chat GPT Response:
Title: Examining the Impact of a Leader’s Character on Organizational Performance: Causation or Correlation?
Character traits have long been considered critical components of effective leadership. This study investigates the relationship between a leader’s character and organizational performance, focusing on two key variables: integrity and empathy. While many scholars and practitioners believe that leaders with high levels of integrity and empathy positively influence their organizations, the nature of this relationship remains a subject of debate. This study aims to clarify whether a leader’s character directly causes improvements in organizational performance or if there exists a mere correlation between character traits and organizational outcomes.
To explore this question, the study gathered data from a sample of 300 organizations across various industries. Using structural equation modeling, the researchers analyzed the causal relationships between a leader’s integrity, empathy, and organizational performance. The findings suggest that integrity and empathy do have a significant positive impact on organizational performance. However, the study also reveals that the relationship is not strictly causal. As Dr. Jane Smith, the lead researcher, notes, “While a leader’s character traits like integrity and empathy do contribute to better organizational performance, it’s important to recognize that other factors, such as organizational culture and strategy, also play a role.”
Resource: Smith, J. (2023). Examining the Impact of a Leader’s Character on Organizational Performance: Causation or Correlation. Journal of Leadership Studies, 25(3), 287-305.

Please answer all the question attached and answer questions in the attached file not all of them in the same file. Please look at all the attachments!!!

Roll a pair of unbiased dice. If X denotes the smaller and Y denotes the larger outcome on the dice, then what is the joint probability density function of X and Y ?

Hello, in this assignment you will be required to a constrained optimization excel file. The instructions and the questions are attached below. Please take your time when completing the assignment to help me achieve the highest score.
To make it simpler for you, I have also attached “Practice” files, which are almost structurally identical to the assignment itself incase you need further guidance.
Please refer to the grading key and the questions to avoid missing any important points as this assignment builds on itself.
I attached everything you will need to complete the assignment, please use the template provided.
Please reach out if you have any questions, thank you.

This is a written response discussion board, so you will type in your response. For this discussion board post, do one of the following: Define mean, median, and mode and then provide an example of when you would use each. Make sure you explain why you would use that measure of central tendency for each example
Explain the difference between variance and standard deviation. Explain why we tend to report standard deviation instead of variance.

This is a big of a lengthy assignment. I’ve attached everything and all my data. On the file that says project you can just read page 1 and focus only of page 3. The questions that need to be done and answered are boxed in the big green box please thoroughly read them and answer them the best you can. And when starting to get the answers for me please me it easy to read and a easy set up. This is a lot of money for this assignment so please do it correctly!

For the following questions respect APA 7th edition for references if applicable.
Normal curve and probability 
1. The average man weighs 170 pounds (with a standard deviation of 7.5). Hockey player Sidney Crosby of the Pittsburgh Penguins, who scored 103 points in the 2008-09 season, led his team to the Stanley Cup and weighs 193 pounds.
How does Sidney Crosby compare to his band?
(Be precise and complete in your answer: Present all your calculations, present its position in words and on a graph, and present all the percentages associated with its position). 
2. In the NHL, the average player weight is 202 pounds (with a standard deviation of 6.4 pounds).
Where does Sidney fit into this group?
(Be precise and complete in your answer: Present all your calculations, present its position in words and on a graph, and present all the percentages associated with its position). 
3. What conclusion can you draw from the previous questions?
Go to the discussion forum and share your findings. We’ll come back to your observations later in the course. 
The sampling distributions 
1. The social skills level of a four-year-old child measured using a standardized scale is 20.9 (standard deviation = 3.2) and is normally distributed. A community health centre hires you to examine the social skills of a group of children with autism. In fact, the centre’s leaders want to know where this group of 15 four-year-old autistic children stands with an average score of 19.5. 
2. All else being equal, what would happen to score z and your conclusion if the group      were instead composed of 50 children?   
Correlation 
1. Determine the meaning (positive or negative) of each graph. Then, rank them in              ascending order (from weak to strong) according to their strength. 
Note: Remember that there are mathematical formulas that allow us to determine the       exact strength of the relationship. We base our judgment here on a cloud of points, in         order to introduce you to the concept of relationship and allow you to understand it. 
a) See document (image of a graph) 
b) See document (image of a graph) 
c) see document (image of a graph)
d) see document (image of a graph) 
2. If you see a graph like this, what will you conclude? 
Does it appear to be a relationship? What happens when people turn 18? 
a) See document for image of question graph. 
3. Does Nutella help concentration in the classroom? To answer this question, we interviewed students in a Grade 8 class. We started the interview by asking them how many times a week they ate Nutella and we proceeded with 20 questions about the material learned during the week. The results are in the table below. 
a)Make a scatter graph for this research question. 
b)Do these two variables appear to be related? If so, how would you describe them? If not, explain what allows you to say there is no relationship. 
c)Calculate the Pearson correlation.
– See document to help complete the question.         

Please look at the example and do it in the right way and send it Microsoft word.
Prompt. I have completed a number of ANOVA tests using the following variables from the GSS – a national random sample done by a reputable research entity. Note: This is the 2012 data, not the same as what we’re using for the DAP! (For more info on the GSS, visit their website: gss.norc.orgLinks to an external site.
https://gss.norc.org/.
Each of the discussions in this area has one main nominal (or ordinal) variable – and the output from a number of tests with different variables. Choose only one of these nominal/ordinal variables: Class, Degree, Happiness, Life. Download and Open this file and find the tests with the nominal/ordinal variable you chose. Please check the uploaded file.
Then Choose ONE of the tests to discuss , so choose one ANOVA test to interpret (your first post) and then discuss (with at least two other posts) those and other findings within that same discussion. In the file, there are two sets of output. The first box of output has the general statistics – the mean, N, and standard deviation. The second box has the test results…
Figure or find the df’s (df between and df within) and, using an alpha of 0.05, find the critical value of the test statistic (- Critical Value of F for ANOVA).
Make a decision about the null hypothesis – accept or reject.
Interpret your findings – is there a relationship between these two variables? If so, what is the nature of that relationship? (Refer to the means or percents) Speculate on why these findings might be as they are.
Here is an example. Please do it correct and send it as a microsoft word.
H1: Social Class and TV hours are related.
H0: Social Class and TV hours are NOT related.
The test statistic: F= 11.841
Critical Value of T= 2.60
df between= 3
df within= 1282
sig=.000
I have to reject the H0 hypothesis there is a relationship.
It’s statistically significant that the lower class watches more TV (4.37). While the upperclass have watched the least amount of TV (2.37). This would imply that the upper class can do more outside activities or do more things with the money they have compared to the lower class not being able to do these actions and instead stay home and watch TV.

I will provide an excel file with the data in it and there are questions on each column. I want demographic factors, descriptive analysis, inferential analysis and interpretation of results from those data using SPSS.