Category: Statistics homework help

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Assignment 1: Confidence Interval for one sample continuous outcome, sample size >=30. 
1. Suppose you are a junior researcher of a research team. You want to know the true mean age of 2,500 freshmen students of MSU. You have randomly selected 144 freshmen (n=144), and collected their age. The mean age x¯ = 25.3 years with a standard deviation s = 5.7.
a. Compute a 95% confidence interval (CI) for the true mean age of freshmen. (10 points).
b. Interpret your findings. (5 points).
Assignment 2: Confidence Interval for one sample continuous outcome, sample size <30.  Now assume that due to time and money constraints, you have collected data (age) only from 28 students (n=28) with the mean x¯ =24.2 years and standard deviation s = 4.3. a. Compute a 95% confidence interval (CI) for the true mean age for freshmen (10 points). b. Interpret your findings (5 points). c. Is there any difference between when you have collected data from 144 students and you have collected data from only 28 students? If so, what are the difference? Why it happens? (5 bonus points).  Assignment 3: Confidence Interval for one sample dichotomous outcome  In a sample of 1,540 patients attending at emergency room (ER) department, 231 patients were diagnosed with cardiac failure. a. Calculate the confidence interval for patients with heart failure with 90% confidence level. (10 points). b. Interpret the findings. (5 points)

I have a study entitled: Psychiatric nurses’ perspectives on using coping mechanisms towards job stress. Study methodology: Delphi mechanism 
Target sample: 15-30 
Study objective: Identifying the coping mechanisms used by psychiatric nurses towards job stress Attachments: 
1- Study plan 
2- Questionnaire used: https://forms.gle/MkT8oNfZZuBYGbQL6 3- Statistical analysis of 2 rounds using SPSS program 
3- Data collection 
Note: Coding in the analysis is as follows: 
1- Age 30-35 (1) 36-40 (2) 41-45 (3) 46-50 (4) 50-and above (5) 
2- Gender: Male (1), Female (2) 
3- Occupation: Health practitioner (1), Academic (2) 
4- Academic degree: Diploma (1), Bachelor’s (2), Master’s (3), Doctorate (4) 
5- Department: Hospital (1), College (2) 
6- Years of experience: 1-5 (1), 6-10 (2), 11-15(3), 16-20(4), 21-above (5)  
Please: Revise the scientific paper for publication in scientific journals, write Results, descriptive findings, discussion, conclusion.  
You can rely on the steps of this paper and do what is necessary. https://www.sciencedirect.com/science/article/abs/pii/S0260691724002259?dgcid=author  
Proposed journal for publication: European Journal of Investigation in Health, Psychology and Education  
Thank you very much in advance…

 The visuals for each type of chart need to be copied & pasted from SPSS. 
 
Descriptive Statistics Lab
This week, we are building on the concept of levels of measurement to show how different descriptive statistics are appropriate for different types of variables. That is, some descriptive statistics are better at describing certain variable types but not others. For example, if I want to describe the center of an interval or ratio level variable, I would be better served by using the mean or median than I would be if I used the mode. Your task will be to apply the conceptual knowledge of matching levels of measurement with appropriate descriptive statistics as a way to analyze variables in SPSS.

Activity:

Download the lab data HERE Download HERE https://piedmont.instructure.com/courses/28830/fil…
This data set should be familiar because we worked with it last module. Review the data and refresh your understanding of the variables.
Take particular note of the information in the Measure column. Use this information to make decisions about which descriptive statistics you will run for each variable.
For each variable, run descriptive statistics and identify which measures are most appropriate for describing the variable.

**Note: Make sure to put your work into 1 single Word document that you will submit for this assignment. Include your answers to the questions AND the SPSS output in the Word document that you submit.

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Rubric
SPSS Lab Rubric
SPSS Lab Rubric
CriteriaRatingsPts
This criterion is linked to a Learning OutcomeAccuracy
3 pts
Exemplary
No more than 2 incorrect answers. High attention to detail and excellent application of course curriculum to module activity.
2 pts
Competent
3-5 incorrect answers. Moderate attention to detail and good application of course curriculum to module activity.
1 pts
Developing
More than 5 incorrect answers. Poor attention to detail and poor application of course curriculum to module activity.
3 pts
This criterion is linked to a Learning OutcomeOrganization
2 pts
Exemplary
Submission is clean, immaculately organized, contains all pieces of information required for the lab. SPSS output organized very well and clearly connected to text answers.
1 pts
Competent
Submission is mostly organized, if missing pieces of information, only missing 1-2 pieces of information. SPSS output mostly organized and generally has a clear connection to text answers.
0 pts
Developing
Submission is disorganized, missing several pieces of information, and generally difficult to read. SPSS output unclear in its organization and possibly missing.

  To calculate the correla on factor (r), go to Excel, Formulas, Sta s cs, and select the CORREL func on.
  To calculate the Regression Equa on and Coe cient of Determina on: a. Select the x,y data
b. Insert a sca er chart from that data
c. Click the chart, go to Chart Design
d. Go to Quick Layout
e. Select Layout 9
f. Then you get the Regression Equa on, and r square.
1) Exercise 23, page 159.
Roadway conges on is a costly item, in both me wasted, and fuel wasted. Let X represent the average annual hours per person spent in tra c delays and let Y represent the average annual gallons of fuel wasted per person in tra c delays.
a) Draw a sca er diagram for the data.
b) Compute r (Coe cient of Correla on).
c) Is there a correla on?
X (hr)
Y (gal)
28
48
5
3
20
24
35
55
20
34
23
38
18
28
5
9
2) Exercise 7, page 172.
Let X represent the total number of jobs in each neighborhood, and let Y represent the number of entry-level jobs in the same neighborhood. A sample of six neighborhoods gave the following informa on (units in hundreds of jobs).
X
Y
16
2
33
3
50
6
28
5
50
9
25
3
a) Calculate the media of jobs.
b) Calculate the media of entry-level jobs.
c) Compute r (Coe cient of Correla on).
d) Draw a sca er diagram for the data, showing the regression line.
e) Calculate the Coe cient of Determina on.
f) Calculate the Regression Equa on.
g) Ques on: If a neighborhood with 40 jobs, how many are predicted to be entry-level jobs?

To calculate the correlation factor (r), go to Excel, Formulas, Statistics, and select the CORREL function.
To calculate the Regression Equation and Coefficient of Determination:
a. Select the x,y data
b. Insert a scatter chart from that data
c. Click the chart, go to Chart Design
d. Go to Quick Layout
e. Select Layout 9
f. Then you get the Regression Equation, and r square.
Using MS Excel, prepare a Simple Linear Regression for the following data:
In the data that follows, X=median diameter (in millimeters) of granules of sand, and Y=gradient of beach slope in degrees on natural ocean beaches.
 
   
X  
0.17
0.19
0.22
0.235
0.235
0.30
0.35
0.42
0.85 
Y
0.63
0.70
0.82
0.88
1.15
1.50
4.40
7.30
11.30
 
Then using MS Excel:
 1) Find the sample mean and standard deviation for x and y.
2) Calculate the Coefficient of Correlation (r).
3) Make a scatter plot.
4) If there is correlation, then find the equation of the least-square line or regression line, and then graph the line on the scatter plot.
5) Find the coefficient of determination r**2 (r square).

200-300 words
 One of the disturbing uses of statistics in the media is taking statistical information and displaying the information in an exaggerated manner to trick the reader into a certain point of view. On pages 98-100 of your textbook, pick one of the following problems:1, 2, 3a, 4a, 5, 6, 7a, 8, 9, 13, or 15. Discuss how the graph is misleading. Why might the graph’s creator have made the graph this way? How could the graph be improved to show the information in an unbiased manner? Do you think it is unethical to portray information in this way? Why or why not? 

– WEEKLY DISCUSSION BOARD
– WEEKLY LEARNING ACTIVITY BASED ON THE STATISTICAL ANAYLYSIS RUN A MANAGERIAL REPORT
– WEEKLY ASSIGNMENT(CHAPTER ACTIVITIES)

 
Unit 1 Assignment: S WOT and Linear Regression
Outcomes addressed in this activity: 
Unit Outcomes: 
Describe types of risks in order to prioritize them.
Distinguish the difference between risks and issues.
Explain root causes and consequences of risk. 
Course Outcome: 
IT528-1: Enumerate common types of risks and their potential ramifications for modern business.
Purpose 
The purpose of this Assignment is to practice developing a SWOT analysis to identify and plan for risk mitigation, and then to prepare a linear regression model in R® that will address that risk. You will be expected to complete both a SWOT analysis and a linear regression model in this Assignment. 
Assignment Instructions 
Complete the following steps: 
In a Microsoft® Word® document, create a SWOT table for the following scenario: 
Home & Hearth is an American company that distributes heating oil for homes in rural areas across the country. These homes are remote enough that they cannot connect to natural gas services that are a normal part of town and city life. They must purchase heating oil to be delivered to their properties by truck, usually once or twice a month, though sometimes more frequently in colder months. Home & Hearth has been delivering heating oil to such homes all across America since in 1976. The company has a strong network of suppliers of crude oil, and owns its own refineries in eight regional locations around the country to process the crude into heating oil. Although it has more than forty years of experience, the company has been caught off guard from time to time with too little crude oil on-hand when demand for their heating oil has increased, sometimes due to new accounts, sometimes due to harsher or longer than expected winters in some areas. When winters are short or mild, the company is sometimes left with tens of thousands of gallons of crude or refined heating oil on-hand. Heating oil can turn rancid (unusable) if it is not used within a few months, though there are some preservation techniques that can extend the shelf life of heating oil by refrigeration. The price of oil seems to be changing all the time, which frustrates the company’s management as well. Over the years of their existence, oil burning stoves, furnaces, and hot water tanks have also become much more efficient, and the technology continues to improve. As cities and towns across America have continued to grow, some of their customers have gained access to natural gas hookups, but the company has also seen an influx of new customers moving to the country to escape the congestion and bustle of more metropolitan areas.
Note that although there is no hard-and-fast number of items, the paragraph gives enough information that every quadrant of your SWOT table should have at least two items, and could have more depending on your research and knowledge of the energy industry and supply chain concepts. Your lists should include both risks and issues Home & Hearth faces, and should distinguish between them.
Download the HeatingOil.csv data set file from Course Documents. Import it into R using this command: HeatingOil <- read.csv(file.choose(), header=T) Create a linear regression model to predict heating oil usage based on the other variables in the data set. Place a screenshot of your linear regression model into your Word document. Write an interpretation of the predictive ability of your model and independent variables, with specific attention paid to independent variable coefficients and p-values. Conduct research about the energy industry, focusing specifically on SWOT/risks this industry faces. Write a summary of how your linear regression model could help Home & Hearth respond to risk. Contextualize your summary using the research that you found. You should cite a minimum of five sources. These should be related to SWOT, linear regression, and/or risk management in the energy sector. Do not cite the data set or the course textbook.  Assignment Requirements  Prepare your Assignment submission in Microsoft Word following standard APA formatting guidelines: Double spaced, Times New Roman 12-point font, one inch margins on all sides. Include a title page, table of contents and references page. You do not need to write an abstract. Label all tables and figures. Cite sources appropriately both in the text of your writing (parenthetical citations) and on your references page (full APA citation format). 

 
As a student at UMGC, you have been asked to join a fictional committee that will partner with new students in various programs of study. You will work alongside UMGC students from other programs to coordinate a weekend event that includes a tour of the campus, an informal meeting with students who are interested in your program, and a lunch-and-learn session with a panel of experts from various fields. During the meeting with students who may be interested in your field of study, one student mentions that a program requirement is statistics. That student asks you why statistics is needed in this program.
Do research online and create a thoughtful reply to the student, including a list of at least 3 specific ways in which statistics is used in your field of study. Include references from the online sources. Don’t forget to cite your sources in APA format! (see the Announcement here for additional information: Where to find information on APA format). This serves as your initial post to the discussion and is due by 11:59 pm EST on Saturday.