## Writer’s Choice

For this week’s discussion…

You are going to create and solve probability problems referring to permutations and combinations. Each student is required to create FIVE word problems for your classmates to solve. A simple example is:

Problem – Imagine your family just picked up a box of donuts with eight different types of donuts in it. How many ways can you select three different donuts based off the box your family got?

Answer – This is a combination problem because the order of types of donuts does not matter. 8C3 = 56.

In your discussion post you must:

Create your FIVE word problems based on concepts of permutations or combinations.
Solve at least THREE word problems created by your classmates. Each word problem must come from a different
In your responses, you must provide the solution and the reasoning behind your solution. Explain your work.
Also have an answer key for the problems as well

## Week 3 assignment

Labs are to be completed on the MyStatLab system by the deadline but may be revised throughout the course. Each assignment contains 12 to 34 multiple-choice and short-answer questions, and there is no time limit.

## Course Project- Phase 3

Module 03 Content

In this module you will begin working on Phase 3 of your course project. Using the same data set and variables for your selected topic, add the following information to your analysis:

Discuss the process for hypothesis testing.
Discuss the 8 steps of hypothesis testing?
When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why?
Perform the hypothesis test.
If you selected Option 1:
Original Claim: The average salary for all jobs in Minnesota is less than \$65,000.
Test the claim using α = 0.05 and assume your data is normally distributed and σ, the population standard deviation, is unknown.
If you selected Option 2:
Original Claim: The average age of all patients admitted to the hospital with infectious diseases is less than 65 years of age.
Test the claim using α = 0.05 and assume your data is normally distributed and σ, the population standard deviation, is unknown.
Write the null and alternative hypothesis symbolically and identify which hypothesis is the claim.
Is the test two-tailed, left-tailed, or right-tailed? Explain.
Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.
What is the value of the test-statistic? What is the P-value?
What is the critical value?
What is your decision; reject the null or do not reject the null?
Explain why you made your decision including the results for your p-value method or the critical value method.
State the final conclusion in non-technical terms.

Please show your work for the construction of the test-statistic and explain your process for finding the p-value and critical value. Be sure to use the Equation Editor to format your equations.

This assignment should be formatted using APA guidelines and a minimum of 2 pages in length.

## Statistics Question

Statistics Question. Hello,
I am needing assistance in answering this discussion question:
Summarize the steps of hypothesis testing. What is the aim of hypothesis testing? What does hypothesis testing achieve that could not be otherwise achieved? How does hypothesis testing help support the fields of sociology or political science as sciences that employ the scientific method? Besides hypothesis testing, are there alternative ways to validate the research findings of social scientists?
Thank you!

Statistics Question

## Optimization Using Healthcare Examples

In what other ways might optimization be used to maximize healthcare delivery? What types of processes and workflows are best served by optimization in health services organizations?

Optimization is a vital prescriiptive analytic technique that healthcare administrators can use to help address challenges in effective and efficient healthcare delivery. Health decision makers may seek to find optimal solutions for a particular objective given various constraints. For example, optimization is often used for generating nursing staff schedules to ensure appropriate staff coverage with varying patient inflows.

For this Assignment, you will be using optimization techniques to evaluate two separate medical problems, one involving mechanical heart valves and another involving a pharmaceutical company. Review the resources for this week, and examine the different optimization techniques that can be used for this Assignment.

Complete Problem 36 on page 657 (mechanical heart valves) and Problem 42 on page 659 (pharmaceutical company) of your course text.
Create a embedded Excel analysis as a Microsoft Word management report.

Albright, S. C.,

## Optimization in Health Services

David is a healthcare administration leader who manages the operations of a long-term care facility. Within the past 6 months, long-term care patients and residents have experienced an increased number of hospital readmissions due to ongoing acute infections. In striving to ensure effective healthcare delivery and patient safety, David is seeking to use optimization as an analytic technique to determine how to best implement workflow processes to have clinical staff and physicians dedicate time to routine history and full-body observation to help prevent ongoing acute infections.

For this Discussion, review the resources for this week, and reflect on how optimization techniques might enhance healthcare delivery. Consider the value of optimization techniques in assisting healthcare administration leaders in providing quality patient care and safety.

Post a descriiption of some problems that might lend themselves to optimization in your health services organization or one with which you are familiar, and explain why. Then, set up a fictitious optimization problem that would save one of the problems (e.g., Max z = a1x1 a2x2, subject to constraints). Be specific, and provide examples.

Organizational problem: Managing EC triage with Covid patients

Albright, S. C.,

## Statistics Question

Statistics Question. Problem
A manufacturer of hard safety hats for construction workers is concerned about the variation of the forces
its helmets transmit to wearers when subjected to an external force. For simplicity, we assume that the
measurements of the forces of n helmets in an experiment that transmit to wearers, X1, …, Xn, are a random
sample from N(0, σ2
) where σ
2
is unknown. Consider testing H0 : σ
2 = σ
2
0 vs. H1 : σ
2 = σ
2
1 where the known
constants satisfy σ
2
0 < σ2
1
.
3.1 Apply likelihood ratio test (LRT) to show that we reject H0 if Pn
i=1 X2
i > c for some constant c.
3.2 Find the value of c to make it a level α test.
3.3 Find a (1 − α)100% confidence interval of σ
2 using the LRT found in 3.2.
3.4 Suppose H0 : σ
2 = 1 vs. H1 : σ
2 = 4, sample size n = 10 and α = 0.05. Find the value of c and the power
of the LRT.
After solving the questions please also provide answers doing computational method using R programming and show both methods (computational and scientific)

Statistics Question

## statistics lab

statistics lab. First: Download the SPSS lab manual (Psychology 385 Stats Lab 2.docx Download Psychology 385 Stats Lab 2.docx) and data file (PSYC 385 Stats Lab 2 S20.sav Download PSYC 385 Stats Lab 2 S20.sav) and open it on your computer.
Use the “Save As” option to rename your file as Stats385_Lab12_YOURLASTNAME.
When you have finished this assignment, you will upload your dataset and outputfile to this Canvas submission portal. You will answer the following question in the textbox located below: Do you think the distribution of the of GPA variable is normal? Why or why not? What is the approximate mode of this distribution? How do you know?

statistics lab

## Statistics Question

Statistics Question. Problem A manufacturer of hard safety hats for construction workers is concerned about the variation of the forces its helmets transmit to wearers when subjected to an external force. For simplicity, we assume that the measurements of the forces of n helmets in an experiment that transmit to wearers, X1, …, Xn, are a random sample from N(0, σ2 ) where σ 2 is unknown. Consider testing H0 : σ 2 = σ 2 0 vs. H1 : σ 2 = σ 2 1 where the known constants satisfy σ 2 0 < σ2 1 .
3.1 Apply likelihood ratio test (LRT) to show that we reject H0 if Pn i=1 X2 i > c for some constant c.
3.2 Find the value of c to make it a level α test.
3.3 Find a (1 − α)100% confidence interval of σ 2 using the LRT found in 3.2. 3.4 Suppose H0 : σ 2 = 1 vs. H1 : σ 2 = 4, sample size n = 10 and α = 0.05. Find the value of c and the power of the LRT.
After solving the questions please also provide answers doing computational method using R programming and show both methods (computational and scientific)

Statistics Question