Statistical Applications

Discussion Topic

Hypothesis – A guess or prediction that states that something is true

For this week…simply share a hypothesis. It can be about the class, the world, your job, the weather, or anything that you find relevant.

At least 250 words

Course MaterialsRequired Text or E-Book: Gravetter, F.J., Wallnau, L.B (2017). Essentials of Statisticsfor Behavioral Sciences, (10th edition). Custom for Monroe College. Boston, MA:Cengage Learning

# Category: Statistics homework help

## Hey guys, i honestly i dont understand anything that’s required.

hey guys, i honestly i dont understand anything that’s required. I need help to finish this.

intro video:

reading short article:

https://www.nytimes.com/2020/11/20/health/covid-vaccine-95-effective.html

Calculating Efficacy:

https://www.cdc.gov/csels/dsepd/ss1978/lesson3/section6.html

To check your work:

https://www.nytimes.com/2020/12/13/learning/what-does-95-effective-mean-teaching-the-math-of-vaccine-efficacy.html

## Boston, ma:cengage learning

Course MaterialsRequired Text or E-Book: Gravetter, F.J., Wallnau, L.B (2017). Essentials of Statisticsfor Behavioral Sciences, (10th edition). Custom for Monroe College. Boston, MA:Cengage Learning

## I understand life in prison can be hard for people but what is in store for when they get out?

I chose partnership after prison. I have been working in a state prison for the past 9 years and I see what it is like for people in prison but very seldom do I even think about what it is like after they got out. This is going to be interesting for me on many levels.

I understand life in prison can be hard for people but what is in store for when they get out? I has to put a strain on personal life and a persons relationships especially if the sentence is a pretty good length of time.

In your responses to your peers, provide feedback that can help them complete Milestone One for their assignment submission.

## I plan on focusing on whether there is a side effect from treatments that plays a role in infecting others with hiv or if it is even helping to cure them from this condition.

The research study I have chosen is African American Older Adults Living with HIV: Exploring Stress, Stigma, and Engagement in HIV Care. The focus of this research study is to show how this condition has affected the African American population. It focuses on the stigmas that they have to go through living with this condition. The purpose of this study was to investigate and see why this condition is affecting the elders and most importantly African Ameircans. The group that participated in the study had 35 participants and they were all 50 to 69 years old. I plan to address the treatments that they all receive and if it’s the same treatment that the younger generations are receiving. I plan to also address if your gender also has to do with if you have a higher risk of getting HIV or not. I plan on focusing on whether there is a side effect from treatments that plays a role in infecting others with HIV or if it is even helping to cure them from this condition.

## Why?

Initial Post Instructions

Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clinic in a month’s time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor’s office. You can make assumptions about other information or variables that are included in each data set.

For each data set, propose your idea of how best to represent the key information. To organize your data would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why?

What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?

Follow-Up Post Instructions

Respond to at least one peer. Further the dialogue by providing more information and clarification.

Consider how different distributions might affect the different graphs. How might other variables affect the graphs? How could graphs be made to be biased? If a graph were biased, how might you change it to guard against that bias?

Writing Requirements

Minimum of 2 posts (1 initial & 1 follow-up)

APA format for in-text citations and list of references

Response to Cindy

Hello Class,

The graph that i feel would work best in collecting the list of all injuries that were seen in a month’s time would be the relative frequency table. it would be the best table to show the most common and seen injuries for the month.

“A frequency (distribution) table shows the different measurement categories and the number of observations in each category. Before constructing a frequency table, one should have an idea about the range (minimum and maximum values). The range is divided into arbitrary intervals called “class interval.” If the class intervals are too many, then there will be no reduction in the bulkiness of data and minor deviations also become noticeable. On the other hand, if they are very few, then the shape of the distribution itself cannot be determined. Generally, 6–14 intervals are adequate.” (Dawson & Trapp, 2004)

the graph i would choose is a bar graph because it suits this type of data well, the number of injuries would start at 0 and continue with increments of 5 on the y-axis. the X-axis would be the types of injuries that were seen in the doctor’s office (e.g sprains, fractures ,concussions, etc.)

A line graph and a frequency table would be the best choice in displaying the the number of minutes that each patient spent in the waiting room at the doctors office. the reason for choosing a line graph is because line graphs accurately show changes over a short or long period of time.

The Y-axis would be the waiting time in minutes starting from 0 and increments of 5. the X-axis can be 7 sections with each section presenting one particular day of the week. (Monday-Friday) this will give the average waiting time per day.

References:

Dawson B, Trapp RG. 4th ed. New York: McGraw Hill; 2004. Basic and clinical biostatistics

## Discussion questions are designed to help you make meaningful connections between the course content and the larger concepts and goals of the course.

In your initial post, share your concept and ideas for the “Introduction” section of the final project. My research study from the provided list for my final project is about Partnership After Prison: Couple Relationships During Reentry by Megan Comfort, et al. in Journal of Offender Rehabilitation

This can be an outline, bullets, or similar form that shows your plan to address all components of the Milestone One Guidelines and Rubric.

In your responses to your peers, provide feedback that can help them complete Milestone One for their assignment submission.

To complete this assignment, review the Discussion Rubric document.

Your active participation in the discussion forums is essential to your overall success this term. Discussion questions are designed to help you make meaningful connections between the course content and the larger concepts and goals of the course. These discussions offer you the opportunity to express your own thoughts, ask questions for clarification, and gain insight from your classmates’ responses and instructor’s guidance.

Requirements for Discussion Board Assignments

Students are required to post one initial post and to follow up with at least two response posts for each discussion board assignment.

For your initial post (1), you must do the following:

Compose a post of one to two paragraphs.

Take into consideration material such as course content and other

discussion boards from the current module and previous modules, when appropriate (make sure you are using proper citation methods for your discipline when referencing scholarly or popular resources).

## make sure you interpret your results.

ecall the car data set you identified in Week 2. You will want to calculate the average for your data set. (Be sure you use the numbers without the supercar outlier) Once you have the average count how many of your data points fall below the average. You will take that number and divide it by 10. This will be your p or “success” in your problem. Once you have p, calculate q.

If you were to find another random sample of 10 cars based on the same data, what is the probability that exactly 4 of them will fall below the average? Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that fewer than 5 of them will fall below the average? Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that more than 6 of them will fall below the average? Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that at least 4 of them will fall below the average? Make sure you interpret your results.

I encourage you to review the Week 3 Binomial probabilities PDF at the bottom of the discussion. This will give you a step by step example to follow and show you how to find probabilities using Excel. You can also use this PDF in the Quizzes

## How does the estimation of demand function incorporate the impact of each factor using the multiple regression technique?

ASSIGNMENT QUESTIONS

1. What are the relevant factors to be considered for modelling a demand function for Maa mustard oil? How is each factor related to elasticities of demand? How does the estimation of demand function incorporate the impact of each factor using the multiple regression technique?

2. Analyze the estimated demand function and calculate the elasticities of demand for Hind Oil Industries’ product. What do these calculations suggest about the effects of changes in each of these variables?

3. What would be the impact of a price change by HOI on the total revenue of Maa mustard oil, keeping other variables constant?

4. What is the optimum price at which total revenue can be maximized for Maa mustard oil if the competitors’ prices do not increase in October 2015 (scenario l)? If competitors increase their prices by around 6 per cent, as suggested in the case (scenario 2), what would be the optimum price? Does the company benefit if competitors increase their prices? Perform all calculations under the assumption of no increase in promotional expenditure in the next month and a I-per-cent increase in the per capita income of consumers.

5. Plot a demand curve and a total revenue curve using the estimated values of quantity demanded from question 4. Analyze the findings of question 4 by using the concept of the total revenue test and the plotted graphs.

## Explain with an example on how rdf triples could be clustered in a hierarchical form to develop an ontology using rdfs.

Using Protégé develop an ontology habits that can lead to COVID-19 infection. (30 points)

Explain with an example on how RDF triples could be clustered in a hierarchical form to develop an ontology using RDFS. You may use MS Visio of any other tool to provide a diagram explaining your example. (30 points)

Provide a situation where SNOMED-CT can be applied to type 2 diabetes. Please be sure to use the right concept IDs while providing your explanation. (40 points)

Screenshots from Protégé can be copied to the .doc/.docx document for final submission.

Please note that all submissions have to be made on canvas in the submission box provided for homework 3. The answers provided must be as detailed as possible. The submission must be in the form of a single .doc/.docx file.

The issue for me is that I dont even know how to use the Protege system here is the link for the system which is free to use.

https://webprotege.stanford.edu/#login

Sign up is free