Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

Competencies

Describe the data using the measures of central tendency and measures of variability.

Apply the normal distribution, standard normal distribution, and central limit theorem.

Develop a confidence interval for a population parameter.

Evaluate hypothesis tests for population parameters from one population.

Evaluate hypothesis tests for population parameters from two populations.

Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

1) Find the area of the parallelogram determined by the points P(7, -5, 5), Q(-10, 8, -7), R(-4, -5, 1)and S(-21, 8, -11).
Solve the problem.

1) Find the area of the parallelogram determined by the points P(7, –5, 5), Q(–10, 8, –7), R(–4, –5, 1)and
S(–21, 8, –11).
A) 3 7017 B) 3 7017
2 C) 27249 D) 27249
2
Find the triple scalar product (u x v) · w of the given vectors.
2) u = 2i – 4j + 3k; v = –3i – 5j + 2k; w =8i –6j +10k
A) 66 B) –86 C) –246 D) 282
Find parametric equations for the line described below.
3) The line through the points P(–1, –1, –2) and Q(–4, –7, 1)
A) x = t – 3, y = t – 6, z = –2t + 3 B) x =–3t –1, y =–6t – 1, z = 3t – 2
C) x = –3t + 1, y = –6t + 1, z = 3t + 2 D) x =t +3, y =t +6, z = –2t – 3
Write the equation for the plane.
4) The plane through the point P(–3, 5, 7) and normal to n =7i +5j +4k.
A) 7x + 5y + 4z = 32 B) –3x +5y +7z =32 C) –7x –5y –4z =32 D) 3x –5y –7z =32
5) The plane through the points P(–1, 3, –15) , Q(2, –1, 14) and R(1, 5, –19).
A) 3x + 5y +z = 3 B) 3x +5y +z =–3 C) 3x –5y –z =–3 D) 3x –5y –z =3
6) The plane through the point P(2, –8, –3) and perpendicular to the line x =9+9t, y = 4 + 3t, z =8+8t
A) 9x + 3y + 8z = –9 B) 9x +3y +8z =20 C) 9x +3y +8z =–30 D) 9x +3y +8z =30
Calculate the requested distance.
7) The distance from the point S(–6, –8, –4) to the line x =–10+2t, y =6+9t, z = 4 + 6t
A) 4 365
11 B) 4 365
121 C) 5840
121 D) 5840
11
8) The distance from the point S(9, –7, 7) to the plane 11x +10y +2z =6
A) 37
225 B) 7
75 C) 7
5 D) 37
15
Find the angle between the planes.
9) 9x + 10y + 7z = –6 and 2x + 7y + 7z = 2
A) 0.464 B) 1.400 C) 1.107 D) 0.851
Find the intersection.
10) x = 2 + 2t, y = –8 + 9t, z = –3 + 3t ; 10x +2y +4z =10
A) (0, –17, –6) B) 68
25, –119
25 , –48
25 C) 32
25, – 146
25 ,– 2
25 D) (4, 1, 0)

Select mathematical methods,operations and tools to extract mathematical information from problem based contexts in academic subjects

Select mathematical methods,operations and tools to extract mathematical information from problem based contexts in academic subjects

The student should write a brief essay in which they discuss the selection of mathematical methods,operations and tools that can be used to extract mathematical information from problem based contexts in academic subjects.

How do you use statistics in your work as a nurse or healthcare provider?

Week 1

How do you use statistics in your work as a nurse or healthcare provider? Find and discuss at least two examples of how statistics are used in your field. Do you feel like statistics are a vital part of the nursing field? Why or why not?

Week 2

Multiple studies conducted in the United States, Canada, Germany, and the United Kingdom show that the probability of dying in the hospital is higher if you are admitted on the weekend. Why might this be?What factors might contribute to this probability? What could hospitals do to reduce and eliminate this phenomenon

Is the square footage for homes in your region different than the average square footage for homes in the national market?

Use the template to complete your assignment

Competency
In this project, you will demonstrate your mastery of the following competency:

Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview

In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.

Scenario

You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:

Are housing prices in your regional market higher than the national market average?
Is the square footage for homes in your region different than the average square footage for homes in the national market?
For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?

You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.

Directions
Introduction

Purpose: What was the purpose of your analysis, and what is your approach?
Define a random sample and two hypotheses (means) to analyze.
Sample: Define your sample. Take a random sample of 100 observations for your region.
Describe what is included in your sample (i.e., states, region, years or months).
Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:
Describe the population parameter for the variable you are analyzing.
Describe your hypothesis in your own words.
Describe the inference test you will use.
Identify the test statistic.
Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.

Calculate the summary statistics (minimum, maximum, mean, median, and standard deviation) and create a histogram of sale price for this dataset.

Portfolio Milestone MIS470 4

Read the final Portfolio Project in Module 8. You will need to choose one of the two options. If you choose to do Portfolio Project Milestone Option #1 then you need to complete the same option in Module 8. Download the dataset house.training.csv (Links to an external site.). This dataset contains 25 quantitative explanatory variables describing many aspects of residential homes in Ames, IA. The response variable is the sale price. More description is available from

(Links to an external site.)

Using R, calculate the summary statistics (minimum, maximum, mean, median, and standard deviation) and create a histogram of sale price for this dataset. Describe the summary and shape of the distribution of sale price.

Copy and paste all the R output for summary statistics and histogram into a Word document. If you take a screenshot, make sure that it shows the current date. Submit the file in Canvas for grading.

Choosing option 1 and attached each excel file.

How do you calculate the level of net working capital (NWC)?What is the value of NWC at the end of Year 0, 1, and 6?

Canyon Buff’s

In this case study: (go into debt details with each question)

When calculating incremental unlevered net income, should we include all the expenses mentioned in the case? If not, what expenses should we exclude and why.

Is there a big jump of unlevered net income from Year 5 to Year 6? Why?

How do you calculate the level of net working capital (NWC)?What is the value of NWC at the end of Year 0, 1, and 6?

Explain how generating a simple random sample of 20 candy bars off the production line would be different than generating a simple random sample of 20 employees.

Explain how to generate a simple random sample of 20 employees out of the 85 total employees who are working at a candy bar factory.

Explain how generating a simple random sample of 20 candy bars off the production line would be different than generating a simple random sample of 20 employees.

Explain why sampling without replacement is preferable to sampling with replacement

Provide an example of when you might want to take a systematic random sample instead of a simple random sample, and explain what the advantages of a systematic random sample might be.

Provide an example of when you might want to take a stratified random sample instead of a simple random sample, and explain what the advantages of a stratified random sample might be.

Provide an example of when you might want to take a cluster random sample instead of a simple random sample, and explain what the advantages of a cluster sample might be.
Also, explain how you would choose the cluster sample.

A telephone survey evaluating unemployment claims asks the question, “Do you think people should be paid not to work?” The survey was conducted during the hours of 8:00 am to 4:00 pm for homeowners with listed landlines. What are some possible sources of error that might arise in their effort to estimate the population proportion who would
answer “yes” or “no” to this question? (Be sure to both identify any relevant types of error with one of your vocabulary words and explain why it might occur.)

Define the concept of “sampling error”. (Note: Your definition should include the idea of sample, population, statistic, parameter.)

Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.

Exploratory Data Analysis
Open the files for the course project and the data set.
For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.
Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
Report Requirements
From the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation.

Explain why you would use this particular probability distribution and how would you apply it.

Scenario:How can a Simulation Model help with your work? For example, In the electrical industry (electrician) a Simulation Model could be use to determine or used for etc.What Probability Distribution ( for example: triangular distribution, discrete distribution, or shewed distribution etc.) could you apply to this working scenario or one that I have not listed? Explain why you would use this particular probability distribution and how would you apply it.