As you can see from the attached document, question 3 concerns non-seasonally adjusted data adjusted for inflation, and an equation used to estimate
2) adding seasonal lag of sales growth to interpret the coefficients in the model
3)Retail sales growing at a certain rate per month and involving the model to estimate a growth rate in the current month
This question is about predicting sales for Johnson & Johnson for the first quarter of 1985, and involves
1) Using the regression output in the above table, determine whether the estimates for b0 and b1 are valid.
2) If this model is mis-specified, describe the steps we should take to determine the appropriate autoregressive time-series model for these data.
Requirements: As detailed as possible with explanations perhaps on a separate document on how you got your
In your initial post, consider what you have read in the assigned Chapter 2 sections of the textbook and identify your own example of improper sampling from your day-to-day life (try not to repeat examples shared by your peers). Be sure to provide the sampling method used, why the sampling method is improper, what type of sampling should have been used, and why.
Discussion Rubric: Undergraduate
Your active participation in the discussion forums is essential to your overall success this term. Discussion questions are designed to help you make meaningful connections between the course content and the larger concepts and goals of the course. These discussions offer you the opportunity to express your own thoughts, ask questions for clarification, and gain insight from your classmates’ responses and instructor’s guidance.
Requirements for Discussion Board Assignments
Students are required to post one initial post and to follow up with at least two response posts for each discussion board assignment.
For your initial post (1), you must do the following:
Compose a post of one to two paragraphs.
Is possible to map the position (people) that work in contact center according their segment (sales, customer service, retention,etc) and languages ?
Describe the key features of the normal curve and explain why the normal curve in real-life distributions never matches the model perfectly.
Provide two examples of why this is especially true in medical statistics.
1. What are the relevant factors to be considered for modelling a demand function for Maa mustard oil? How is each factor related to elasticities of demand? How does the estimation of demand function incorporate the impact of each factor using the multiple regression technique?
2. Analyze the estimated demand function and calculate the elasticities of demand for Hind Oil Industries’ product. What do these calculations suggest about the effects of changes in each of these variables?
3. What would be the impact of a price change by HOI on the total revenue of Maa mustard oil, keeping other variables constant?
4. What is the optimum price at which total revenue can be maximized for Maa mustard oil if the competitors’ prices do not increase in October 2015 (scenario l)? If competitors increase their prices by around 6 per cent, as suggested in the case (scenario 2), what would be the optimum price? Does the company benefit if competitors increase their prices? Perform all calculations under the assumption of no increase in promotional expenditure in the next month and a I-per-cent increase in the per capita income of consumers.
5. Plot a demand curve and a total revenue curve using the estimated values of quantity demanded from question 4. Analyze the findings of question 4 by using the concept of the total revenue test and the plotted graphs.
How do you Check the assumptions of multiple linear regression for the research question of
Report your multiple linear regression analysis in APA style.
Interpret the coeﬀicients βs for all your predictors.
Report your conclusion about the research question in APA style.
The internet is host to a wealth of information and much of that information comes from raw data that have been collected or observed.
Many websites summarize such data using graphical methods discussed in this chapter.
Find a website related to your major that summarizes data and uses graphs, and share it with the class. Let us know how it relates to your major and why it is of interest to you.
Scenario: You are submitting an application to a professional conference on data-driven decision making. The application has two parts:
Providing information to the conference organizers.
Creating a presentation for the conference audience.
Steps to complete: In Week 9, complete and submit your assignment in Blackboard using the following steps:
STEP 1: Visit one of the following newspapers’ websites: USA Today, New York Times, Wall Street Journal, or Washington Post. Select an article that uses statistical data related to a current event, your major, your current field, or your future career goal. The chosen article must have been published after the start of this term.
Examples may include:
Award shows (Oscars/Emmys/Grammys)
Human rights issues
The article should use one or more of the following categories of descriptive statistics:
Measures of Frequency – Counting Rules, Percent, Frequency, Frequency Distributions
Measures of Central Tendency – Mean, Median, Mode
Measures of Dispersion or Variation – Range, Variance, Standard Deviation
Measures of Position – Percentile, Quartiles
Note: Once you navigate to a publication’s website, it may be easiest to do a search with a statistics-related word (ex: standard deviation).
The publications listed are suggestions. If you find an article from another source OR if you are uncertain the article contains all of the information necessary to complete the assignment, please let your instructor know. Your instructor can help you determine whether it is a good fit for this assignment. If you need additional help locating an article, contact a Strayer librarian for more assistance. Remember to review the examples in the Week 6 Discussion.
STEP 2: Using the data from your article, use the template included in this assignment to answer the following questions asked by the conference organizers. Remember to consider their expertise as mathematical professionals and use appropriate language to communicate your findings:
Highlight the purpose of the article and the problem it is trying to solve. Think summary, in bullet-form.
Explain how the article uses descriptive statistics to communicate information found in the study and/or any conclusions/solutions.
Explain how the article applies to the real world, your major, your current job, or your future career goal.
Recommend solutions using the mathematical and visual data provided.
STEP 3: An additional part of the application process requires you to create a presentation based on the information provided in the template.
Based on your topic, choose an audience (outside of the field of mathematics) that could benefit from the information you will present. For example, this could be your local city council member, staff or administrators of a school, or employees at a company.
Analyze the data in the article to determine the best visual (graph or chart) to tell the story to your audience.
In PowerPoint or other presentation tool, create one visualization of the data appropriate for the conference audience. NOTE: If the article already contains a visual, you must create a different type of graph or chart.
Identify the audience and explain how the audience can benefit from the data.
Recommend your identified solutions using language appropriate for the audience.
STEP 4: In the notes section of your final slide, answer the following questions:
Explain why you chose the audience in Part B.
Describe how the visuals used in the PowerPoint are appropriate for the audience.
STEP 5: Format your presentation according to the Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions.
STEP 6: Submit your assignment in two parts:
The Week 9 Assignment Template
Youtube: Fake: Searching For Truth In The Age Of Misinformation | Full Documentary | Connecticut Public
You are to write a 1-2 page reflection paper based on the documentary you watched. What did you find most interesting? How does this pertain to the way we receive and process information from the internet? Why is this topic important?
Papers should be:
– Times New Roman Font size 12
– Double Spaced
– Cover Page
– APA format
Review the attached file. Suzie has an issue. She can either move to NY or FL and needs to review some data that her agent gave her. The agent reviewed house prices and crime ratings for houses that Suzie would be interested in based on her selection criteria. She wants to live in an area with lower crime but wants to know a few things:
Is it more expensive or less expensive to live in FL or NY?
Is the crime rate higher in FL or NY (Note a low score in crime means lower crime)?
Is the crime rate higher in lower or higher house price areas?
Using the R tool, show the data in the tool to answer each of the questions. Also, show the data visualization to go along with the summary.
If you were Suzie, where would you move based on the questions above?
After you gave Suzie the answer above (to #4), she gave you some additional information that you need to consider:
She has $100,000 to put down for the house.
If she moves to NY she will have a job earning $120,000 per year.
If she moves to FL she will have a job earning $75,000 per year.
She wants to know the following:
On average what location will she be able to pay off her house first based on average housing prices and income she will receive?
Where should she move and why? Please show graphics and thoroughly explain your answer here based on the new information provided above.
Note: The screenshots should be copied and pasted and must be legible. Only upload the word document. Be sure to answer all of the questions above and number the answers. Be sure to also explain the rational for each answer and also ensure that there are visuals for each question above. Use at least two peer reviewed sources to support your work.