Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics question and need an explana

Learning Goal: I’m working on a applied mathematics question and need an explanation and answer to help me learn.Use the information for the following info to (a) to
determine why the median salary is the same as the mean? And (b) draw a diagram
of a normal distribution to show that the value at the 90th percentile
corresponds to an area of 0.4 between z=0 and the value at the 90th percentile.Pediatric Nurse 10th percentile – $57,591, 25th percentile – $63,600 , 75th percentile – $80,400, 90th percentile – $89,687 Senior Accountant – 10th percentile $83,666, 25th percentile – $94,500, 75th percentile – $119,700, 90th percentile – $131,809

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics exercise and need an explana

Learning Goal: I’m working on a applied mathematics exercise and need an explanation and answer to help me learn.This is a 15 minute aptitude assessment( some math included) for a job and 10 minute personality assessment. I will send the link privately.
Requirements: Job Assessment   |   .doc file

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics writing question and need an

Learning Goal: I’m working on a applied mathematics writing question and need an explanation and answer to help me learn.ScenarioSmart 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.PromptYou 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 Summary Statistics and Graphs Real Estate Data 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 and include a trend line and the regression equation
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?
You can use the following tutorial that is specifically about this
assignment. Make sure to check the assignment prompt for specific
numbers used for national statistics and/or square footage. The video
may use different national statistics or solve for different square
footage values.MAT-240 Module 2 Assignment
Requirements: satisfactory to rubricds

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics writing question and need an

Learning Goal: I’m working on a applied mathematics writing question and need an explanation and answer to help me learn.ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. The average cost per square foot of home sales based on
this advertisement is $280. The salesperson claims that the average cost
per square foot in the Pacific region is less than $280. In other
words, he claims that the newly designed advertisement would result in
higher average cost per square foot in the Pacific Region. He wants you
to make sure he can make that statement before approving the use of the
advertisement. In order to test his claim, you will generate a random
sample size of 750 using data for the Pacific region and use this data
to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region.
Then, design a hypothesis test and interpret the results using
significance level α = .05. You will work with this sample in the
assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment TemplateHypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.
Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
Calculate the sample mean and standard error.
Determine the appropriate test statistic, then calculate the test statistic.Note:
This calculation is (mean – target)/standard error. In this case, the
mean is your regional mean (Pacific), and the target is 280.
Calculate the p value.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your
hypothesis and whether your conclusions are statistically significant.
You can use the following tutorial that is specifically about this assignment:MAT-240 Module 5 Assignment
Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
Module Five Assignment Rubric
Criteria
Exemplary (100%)
Proficient (85%)
Needs Improvement (55%)
Not Evident (0%)

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics project and need an explanat

Learning Goal: I’m working on a applied mathematics project and need an explanation and answer to help me learn.OverviewRecall 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.PromptThis 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 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 Summary Statistics and Graphs Real Estate Data 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 listing price and
the independent, or predictor, variable (x) should be the 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
and intercept b0.
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. Does this value make sense in context?
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)?
What square footage range would the graph be best used for?
You can use the following tutorial that is specifically about this assignment:MAT-240 Module 3 Assignment
Requirements: satisfactory to rubrics   |   .doc file

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics discussion question and need

Learning Goal: I’m working on a applied mathematics discussion question and need an explanation and answer to help me learn.6-1 Discussion: Confidence IntervalsThe
B&K Real Estate Company sells homes and is currently serving the
Southeast region. It has recently expanded to cover the Northeast
states. The B&K realtors are excited to now cover the entire East
Coast and are working to prepare their southern agents to expand their
reach to the Northeast.B&K has hired your company to analyze the Northeast home listing
prices in order to give information to their agents about the mean
listing price at 95% confidence. Your company offers three analysis
packages: one based on a sample size of 100 listings, one based on 1,000
listings, and another based on a sample size of 4,000 listings. Because
there is an additional cost for data collection, your company charges
more for the package with 4,000 listings than for the package with 100
listings.Bronze Package – Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500
Cost for service to B&K: $2,000
Silver Package – Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750
Cost for service to B&K: $10,000
Gold Package – Sample size of 4,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900
Cost for service to B&K: $25,000
The B&K management team does not understand the tradeoff between
confidence level, sample size, and margin of error. B&K would like
you to come back with your recommendation of the sample size that would
provide the sales agents with the best understanding of northeast home
prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of error
Spending less on data collection and having a larger margin of error
Choosing an option somewhere in the middle
For your initial post:Formulate a recommendation and write a confidence statement in the
context of this scenario. For the purposes of writing your confidence
statement, assume the sample mean house listing price is $310,000 for
all packages. “I am [#] % confident the true mean . . . [in context].”
Explain the factors that went into your recommendation, including a discussion of the margin of error
For your response posts to your peers, choose two different
confidence intervals for your responses. Do you think the agents would
prefer a different confidence interval than their management? What
advantages and disadvantages would there be in having different
confidence intervals for the agents? Explain your thought process and
reasoning in your response.

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics question and need support to

Learning Goal: I’m working on a applied mathematics question and need support to help me learn.Please upload your answers as a Word or PDF document. Label your answers.
Do not submit your Excel spreadsheet here.
Your full answer should be contained in the submitted document.
Do not reference the spreadsheet. The answers such as “see spreadsheet” will not be accepted.
Keep your Excel spreadsheet with all your work for your records. I may ask you to submit your Excel spreadsheet separately. (Be sure your work there is organized and easy to follow.)

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics writing question and need an

Learning Goal: I’m working on a applied mathematics writing question and need an explanation and answer to help me learn.ScenarioSmart 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.PromptYou 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 Summary Statistics and Graphs Real Estate Data 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 and include a trend line and the regression equation
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?
You can use the following tutorial that is specifically about this
assignment. Make sure to check the assignment prompt for specific
numbers used for national statistics and/or square footage. The video
may use different national statistics or solve for different square
footage values.
Requirements: satisfactory to rubrics

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics question and need an explana

Learning Goal: I’m working on a applied mathematics question and need an explanation and answer to help me learn.An item costs 5$. Suppose on an average month you sell 500 items. For every $0.15 increase in your price you sell 10 less items. Find a function for Revenue, with respect to the number of price increases. Your function will be R (x) = (number of products sold) x (price). It is important to incorporate that for every $0.15 in your price you sell 10 less items. Please explain how you attained the function.
Requirements: Half a page

Categories
Applied Mathematics

Learning Goal: I’m working on a applied mathematics exercise and need an explana

Learning Goal: I’m working on a applied mathematics exercise and need an explanation and answer to help me learn.. An economy is based on two sectors, diamond, and manufacturing.Production of Birr 1000 worth of diamond requires Birr 100 of input from each sector and production of Birr 1000 worth of manufacturing requires an input of Birr 400 from each sector. Then a) Give the technology matrix B) Find the amount of Birr needed of diamond to produce Birr 100 worth of manufacturing C) Find the total production necessary of the two sectors to satisfy an external demand of Birr 20 Million Birr of diamond and 10 Million of manufacturing D) Find the internal demand of the two sectors.
Requirements: 2 page