Your paper must include two sections: (1) your reflection of the process and outcomes of the pilot; and (2) your proposed large-scale plan and its alignment to the larger organizational strategy.
Your evaluation should be based on the assumed value creation that can be achieved through a large-scale intervention. When considering the value creation, consider the following:
Review the original business case that you created in Week 1 and consider how the findings from your pilot study align with your original business case and the extent to which you were able to address your problem.
Reflect on the process as well as the outcomes of the process.
Determine changes needed to help the process best achieve your outcomes.
Determine how you can best obtain stakeholder buy-in and alignment to move forward with a large-scale initiative.
Length: 5-7 page paper, not including title and reference pages
References: Include a minimum of 5 scholarly resources.
module 1 projectA short video on the project and its tools https://youtu.be/8IbWYCjR7CY
Using Jupyter notebooks and google colab, we will explore the set structure of the python programming language.
Submission of your graded assignment is due by noon Central time on Monday Week 2. Assignments should be created and submitted as an attachment in one of the following forms: Jupyter notebook (ipynb) or provide a link to github public repository. A file should be named: LastnameFirstName_Course Code_Lesson#_AssignmentTitle. A github repository should have an identifiable user name, a repository name related to this course, and a file name ProjectPart#.ipynb
Create a PowerPoint about dividing four-digit dividends and two-digit divisorsMathematics Assignment Help Standard: 5.NBT.B.6
Find whole-number quotients of whole numbers with up to four-digit dividends and two-digit divisors, using strategies based on place value, the properties of operations, and/or the relationship between multiplication and division. Illustrate and explain the calculation by using equations, rectangular arrays, and/or area models.
I can divide three-and four digit dividends by two digit divisors resulting in two and three digit quotients, reasoning about the decomposition of successive remainders in each place value.
Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get aScenario
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 Statistics and Graphs 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?
https://learn.snhu.edu/content/enforced/955802-MAT-240-H3886-OL-TRAD-UG.22EW3/course_documents/MAT 240 National Statistics and Graphs.pdf?_
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