Tag: Mathematics

I’m working on a statistics writing question and need support to help me study.

Propose a policy recommendation for the U.S. to ameliorate and potentially eliminate your transnational crime group. Make sure your policy recommendation addresses each of the causes and effects of your case study group and who you propose should do them. Be sure to cite sources/facts/statistics/information.

Complete the following exercises from “Review Questions” located at the end of each chapter and put them into a Word document to submit to the instructor.

• Chapter 13, numbers 13.8 and 13.10
• Chapter 14, numbers 14.11 and 14.12
• Chapter 15, numbers 15.11 and 15.12

Show all relevant work; use the equation editor in Microsoft Word when necessary.

1. What is one of the major applications of the derivative from chapter 4? Give an example.
2. State any questions you have about the derivative or its applications. It can be a specific problem or a broader concept.

3-3 Assignment: Real Estate Analysis Part II

Overview

Recall that samples are used to generate a statistic, which
businesses use to estimate the population parameter. You have learned
how to take samples from populations and use them to produce statistics.
For two quantitative variables, businesses can use scatterplots and the
correlation coefficient to explore a potential linear relationship.
Furthermore, they can quantify the relationship in a regression
equation.

Prompt

This assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.

You have submitted your initial analysis to the sales team at D.M.
Pan Real Estate Company. You will continue your analysis of the provided
Real Estate County Data
spreadsheet using your selected region to complete your analysis. You
may refer back to the initial report you developed in the Module Two
Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.

Note: In the report you prepare for the sales team,
the dependent, or response, variable (y) should be the median listing
price and the independent, or predictor, variable (x) should be the
median square feet.

Using the Module Three Assignment Template, specifically address the following:

• Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.
• Determine r: Determine r and what it means. (What is the relationship between the variables?)
  • Determine the strength of the correlation (weak, moderate, or strong).
  • Discuss how you determine the direction of the association between the two variables.
    • Is there a positive or negative association?
    • What do you see as the direction of the correlation?
• Examine the Slope and Intercepts: Examine the slopeb1

undefinedb0

• .
  • Draw conclusions from the slope and intercept in the context of this problem.
    • Does the intercept make sense based on your observation of the line of best fit?
  • Determine the value of the land only.
    Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.
• Determine the R-squared Coefficient: Determine the R-squared value.
  • Discuss what R-squared means in the context of this analysis.
• Conclusions: Reflect on the Relationship: Reflect
  on the relationship between square feet and sales price by answering the
  following questions:
  • Is the square footage for homes in your selected region different than for homes overall in the United States?
  • For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?
  • Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.
  • What square footage range would the graph be best used for?

Guidelines for Submission

Submit your completed Module Three Assignment Template as a Word
document that includes your response and supporting charts/graphs. The
following resources support your work on this assignment:

20 math questions that need to be answered. Please put the answers in the chatbot. I will send the questions once I find tutor. Some answer will be multiple choice some, may be short answer questions

I’m working on a mathematics multi-part question and need an explanation and answer to help me learn.

Assume Mr. Smith has reached retirement and has $250,000 in an account which is earning 6.5%. He would now like to make equal monthly withdrawals for the next 15 years to completely deplete this account. Find the withdrawal payment.

A ten-year $1,000 bond pays $35 every six months. If the current interest rate is 8.2%, find the fair market value of the bond.

1. Hint: You must do the following.
2. Find the present value of $1000.

Find the present value of the $35 payments.

The fair market value of the bond = a + b

• An amount of $200,000 is borrowed for 5 years at a rate of 12%. Make an amortization schedule showing the quarterly payment, the quarterly interest on the outstanding balance, the portion of the payment going toward reducing the debt, and the balance.
• Jane plans to buy a house in 10 years. The house she dreams about costs about $150,000 today. The cost of houses increases at 2.5% per year. 
• How much will the house cost in ten years?

Jane currently has $75,000 that she can invest to earn 3% interest over the next ten years. How much will Jane accumulate from her investment of 75,000 Dollars in ten Years?

1. How much additional money would Jane need in ten years? In effect, how much money does Jane need to borrow to purchase her house?
2. Prepare an amortization table to pay off Jane’s mortgage, if she can borrow at an annual rate of 6.5% to pay off the mortgage quarterly in 5 years after buying the house

Find the step size t that is t = 1/L where L is Lipschitz constant for the problem

Max (- 0.25 ) * mu^T * D *inv(A^T * A) * D^T *mu + mu^T *D*inv(A) * q

subject to || mu ||_inf <= lambda

You would like to see if the proportion of grades has changed since going from in the classroom to fully online. Below is a table of the previous fall semester (hypothesized – in the classroom) and a random sample of 450 random student grades from the online environment. Construct a hypothesis test, complete the table below as well as answering the questions asked of the discussion board. Use a level of significance of .05.

A. What is the expected value for the B Grade (round to the nearest hundredth)?

B. What is the value of the chi square test statistic for the C Grade (round to the 4^th decimal place)?

C. What is the value of the test statistic (round to the 3^rd decimal place)?

D. What is the probability of the test statistic for this specific problem?

E. What conclusion will you come to? (just need to state Accept Ho or Reject Ho and Accept Ha – just put one of those 2 answers in the body of the discussion board, but you will have a more detailed solution (besides writing one of these statements you will write out in words what the conclusion means) on your worksheet that you will attach as a PDF). Use a level of significance of .05.

F. Using the critical value approach at what critical value will you start rejecting the null hypothesi*

Instructions

Scenario (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

• A listing of the jobs by title
• The salary (in dollars) for each job
• In prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in hypothesis testing and wants your conclusion about two claims concerning the average salary for all jobs in the state of Minnesota.

• Background information on the Data

  The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

  What to Submit

  Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.