I have for 1099-G right in front of me here:

• Line 2(State or local income tax refund, credits,or offsets) $200
• I also have a 2017 federal income tax refund received in of $2007

1. I plan to record this amount of schedule 1 (additional income and adjustments to income) on line 10 (Taxable refunds, credits, or offsets of state and local income taxes)?

Can somebody advise me on this – Thank You!!

 

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I have enclosed the questions.

 

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I have downloaded the file from STDB，you do not need to log in this web.

two location：1. Chinatown in Chicago 2. Student center

The market research assignment is a group discussion that includes uploading your research files. You will use Site to Do Business to conduct market research on two sites and share your insights with your group. 

Directions to log on to Site to Do Business: (more detailed instructions and screenshots can be found in the Instructions document)

1. go to stdb.com, click LOG IN2. enter username and password (Stdb.2018), click LOG IN3. click OPEN in the Business Analyst box4. click STDB LOGIN PROVIDER

Assignment: Enter both sites into STDB; compare and contrast them; share with your group

1. Locations. For the first site, you can use your childhood home, a friend’s home, where you live now, or any other location. Just make sure it is an area you are already somewhat familiar with. Some of you may decide to choose an urban area, such as a dorm or apartment building in the Loop. Also, remember that you will be uploading these reports to your group. If you don’t want to share your home address with the group, you can use one that is nearby or select a completely different one.  The second site is 2250 N Sheffield, which is the Student Center at  Lincoln Park campus.

2. Geographic boundaries. After selecting the addresses, you will need to decide what geographic boundary you want to use around that site. You can use rings, walk times or drive times. For a location like Lincoln Park campus, it might make sense to use a 10 minute walk time. For a suburban location, you might want to use a drive time or a something like 2 or 3 mile rings around your site. You decide–and make sure you explain what you decided and why you made that choice.

3. Reports. You should make PDF copies of any STDB report you used so that you can upload them your group discussion. There are many reports to choose from, but make sure you run at least these three:

• Community Profile: this contains many of the basic demographic trends you will be looking for.
• Tapestry Segmentation Report: this will provide you with a list of the dominant segments in your area and their respective percentage of the population. Each segment name is actually a hyperlink to a 3-page report that summarizes the characteristics of that segment. You should save a copy of each segment report.
• Site Map

In your discussion post, describe the demographic trends, making sure you comment on the following. Are any of these very different from national averages?

• Population
• Daytime population
• # of households
• % college educated
• Average household size
• Age
• Median household income
• Percapita income
• Home ownership vs renters
• Tapestry Segmentation:
  • identify the top 3 segments by name
  • what percent does each account for population in the 1-mile ring (or walk-time or drive-time, if you used one of those)
  • briefly describe each of the top 3 segments. Who are they and what do they like/dislike?
• Share with your group your insights of both neighborhoods. Were you surprised by anything you saw? Did you see any differences between the data in the different geographies?  Population should increase as you expand the area, but did any other characteristics change as you expanded to 3 and 5 miles or from a 5-minute walk to a 15-minute walk?

Describe your findings to your group and include in your summary comments on what you found surprising or intriguing. Don’t forget to upload your STDB reports to this discussion.

 

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i have done the part a of project B you have to give marks to part by checking the rubic and have to do the project b  the details and everything i m attaching as well

MAT10251 STATISTICAL ANALYSIS

Data Analysis Project – Part B

Due:  Week 8 Sunday 13 January 2019

Value:  15% 

Objectives: 1 to 5

Topics: 1, 5 and 6

Purpose: To 

· obtain feedback on your submission in Part A and to gain experience in self-evaluation of submitted work 

· apply your knowledge of statistical inference to answer questions about fuel prices by analysing the data and communicating the results.

Part B Submission

You should submit one word document consisting of

· Part B coversheets – first four pages, including completed self-marking sheet for Part A with reflection.

· Copy of your Part A submission.

· Written answers for Part B as components of a report – this should follow the format given on page 5 of Part B coversheets

· Appendices for Part B, which contain full statistical working for the required statistical tasks.

Part B Preparation

While the submission date for Part B is Sunday 13 January 2019, you should be working on Part B during Weeks 5 to 8.

It is recommended that you follow the following timetable

· Self-marking of, and reflection on, Part A should be completed in Week 5

· Question 1, covering Topic 5, should be completed in Week 6

· Question 2, covering Topic 6, should be completed in Week 8

Tasks

Task 1  Part A Self-Marking – 5 marks

When directed to do so during Week 5 complete the following tasks

1) Open your saved copy of your submission for Part A.

2) Replace the Part A coversheets (three pages) with the Part B coversheets (first four pages).

3) Rename and save this file as

“Family Name_First Name_Part_B_Campus”.

4) Use the solution template and marking guide provided to mark your submission for Part A. Enter recommended marks on the self-marking sheet for Part A, page 3 of the file in 3) above.

5) Write a short (approximately 200 words) reflection/feedback on your submission and marking of Part A. In particular:

· consider the good aspects of your submission, what did you do well

· identify where you made mistakes, and how you would avoid them in the future

· consider what you learnt from submitting and self-marking Part A.

This is to be entered in the space at the bottom of the self-marking sheet for Part A.

6) Save file. To be submitted with Part B – due Sunday 13 January 2019.

Task 2 Part B Appendix – Statistical Inference Tasks (19 marks)

The following statistical tasks should appear as appendices to your written answer. This should include all necessary steps and appropriate Excel output. 

These appendices should come after your written answer within your single Word document for Part B.

Statistical Inference

Choose a level of confidence for the confidence interval in Question 1 and a level of significance for the hypothesis test in Question 2.  Enter these values on page 2 of the Part B coversheets along with the sample number and fuel from Part A.

Question 1 and 2 Situation

Previous research undertaken by Oz-Fuel-Watch shows that motorists consider a fuel to be expensive if its price is $1.50 per litre or more. That is, at least $1.50.

Question 1 – Topic 5 (9 marks). 

Oz-Fuel-Watch has asked you whether motorists would consider the average price of your fuel expensive on the day and in the state specified by your sample.

To enable you to answer this question use Unleaded 91 (third column of your data) or Diesel (fourth column of your data) and an appropriate statistical inference technique to:

Estimate the population mean price of your fuel, Unleaded 91 or Diesel, on the day and in the state specified by your sample. 

Question 2 – Topic 6 (10 marks)

Past research shows that even when the average price is less than $1.50 per litre, motorists perceive fuel prices to be expensive when the price of a fuel is at least $1.50 at more than 25% of petrol stations in a state.

Oz-Fuel-Watch wishes to know if, using this criteria, the price of your fuel, Unleaded 91 or Diesel, was expensive on the day, and in the state, specified by your sample.

To enable you to provide this information use Unleaded 91 (third column of your data) or Diesel (fourth column of your data) and an appropriate statistical inference technique to answer the following question

On the specified day was the price of your fuel at least $1.50 per litre at more than 25% of petrol stations in the state specified by your sample?

Notes:

· You may need to transform or manipulate your sample data, before using Excel for the required statistical calculations.

· Use Excel for statistical calculations. You do not need to repeat any Excel calculations by hand. However, make sure that you define your random variables and include any steps not given by Excel. For example, in a hypothesis test include the null and alternative hypotheses, along with the decision to reject or not reject the null hypothesis. 

· Mention any assumptions you need to make.

· Comment on why the test or confidence interval has been chosen

· Make sure you interpret confidence intervals and write a conclusion to hypothesis tests.

Task 3 – Part B Written Task – Components of a report (6 marks)

For each question, present the results of your calculations, with your interpretation and conclusion as components of a longer report on fuel prices.

Use the instructions given on page five of the Part B coversheets.

This should be a one to three pages and 200 to 400 words. 

It should be submitted as a Word file with Excel output included. 

Make sure you:

· Introduce each question and put it in context.

· Answer the question in non-statistical language

· Present the results of your intervals or tests without unnecessary statistical jargon

· Include conclusions which answer the given questions.

Marking Criteria – Part B

Read these marking criteria carefully and consider them when preparing Part B.

See the marking and feedback sheet, page 4 of Part B coversheets, for allocation of marks.

Part A Self-Marking

Full marks will be given for an “acceptable self-marking and reflection”. This is defined as the majority of errors (in particular major or obvious errors) are recognised and considered in marking and reflection.

Zero or partial marks will be given if:

· no or minimal reflection

· no self-marking

·  major errors are not recognised.

Statistical Calculation

· For the intervals and tests marks will be given for:

• Choice      of appropriate statistical technique/s.
• Random      variables defined.
• Correct      hypotheses for a test.
• Correct      Excel output.
• Correct      interpretation of results.

Written Task – Components of a longer report

· 200 to 400 words and one to three pages – marks will be deducted if this is greatly exceeded. 

· To obtain full marks must:

• Be      well structured and analysed
• Answer      the questions and clearly communicate the results of the Excel output in      language appropriate for your audience. 
• Include      an introduction to and conclusion for each question.
• Include      appropriate Excel output
• For      each question the following rubric will be used

Mark

Poor

0

Question not   introduced and/or results not presented.

Confused   response. Incorrect and/or inconsistent comments and conclusions. 

Unnecessary   statistical jargon, especially symbols, equations and definitions (copied   from the textbook)

Question   unanswered.

Acceptable

1

Question   introduced and results presented.

Minimal interpretation   and/or conclusions on how to use the information and/or   only minimally relates information obtained to fuel price.

Only minor   errors and inconsistencies in comments and conclusions.

Question   answered.

More than   acceptable

2

Results   presented and question introduced and answered, clearly and concisely. 

Includes interpretation   and/or conclusions on how to use the information and/or   relates information obtained to fuel price.

No errors and   inconsistencies in comments and conclusions.

Question   answered with justification

· For each major spelling and/or grammatical error half a mark will be deducted, up to a maximum of two marks.

· Also up to two marks may be deducted for poor structure and presentation.

 

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