Category: Mathematics

The research question: How can conditional probability be applied in criminal investigations to assess the likelihood of guilt based on evidence
Use these for tools but also add more:
-Compare different probabilistic models (like Bayesian networks or Markov chains) in assessing guilt. This could involve creating hypothetical scenarios and evaluating how each model processes the evidence to reach a conclusion.
-Use simulation techniques to model the progression of a criminal investigation. This could involve creating a series of hypothetical scenarios with varying degrees of evidence and suspect profiles, and then using conditional probability to assess the likelihood of guilt in each case.
-use hypothesis test also if possible
I shared a sample of how the report must be. I also shared the instructions and guide please follow the instructions. Thank you

Please answer the following in at least 150 words: How is statistics used in the field of healthcare? Provide at least two examples in your response.

“Assignment 2” file includes 6 exercises that have to be solved using dataset files “Data.sav” and “World_2012.sav”. These 2 dataset files have to be open in the application called “Jamovi” and according to the information in the datasets the tasks should be solved. 

For this project, I would like you to write your own Living Proof essay about your personal mathematical journey intersecting with your math identity, addressing the following prompts in any order you’d liked:
In your life so far, what have you found intriguing about math? What have you found challenging or intimidating?
What has your experience been like in your previous math classes from elementary school till Phillips Academy? What made your experience more positive or negative?
What was the biggest challenge you faced in your mathematical journey so far? How did you overcome it or how are you working on overcoming it?
What has been your proudest moment in your mathematical journey so far?
What are some skills that you’ve developed and lessons that you’ve learned that have helped you grow into a young mathematician?
How do you commit to helping everyone feel that they belong in our math class and our school community? How would you like your classmates to help you feel that you belong in our math class and our school community?
MUST ANSWER ALL QUESTIONS!
Examples included as pdfs

Please take my mathematics placement exam and get above a 70%.
I will pay very well if you do this exam and help me place into Calculus I.
The exam is unproctered but you will need to have webcam access. I will give you the login information to take the exam.

Use data.sav for the following tasks.
I want to see the relationship between “Total hours a week your partner spends on housework” (phwwkhs) and “Total hours a week you personally spend on housework” (hwwkhs) using correlations.
Set up the hypotheses.
Choose the appropriate correlation metric to use (use graphical methods and
numerical tests etc.).
Interpret the outcome of the correlation type chosen to evaluate the relationship
between the two variables. (Write a clear and complete sentence)
Compare the total number of years in full-or part time work (yrspdwka) between genders.
Set up the hypotheses.
Decide on which test is most appropriate for this comparison.
According to the output draw conclusions on whether there are significant differences
between the groups and answer your hypotheses. (Write a clear and understandable sentence)
Compare the variables “Total number of years in full-or part time work” (yrspdwka) and the “Years of full-time education completed” (eduyrs).
Set up the hypotheses.
Decide on which test is most appropriate for this comparison.
According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses. (Write a clear and understandable sentence)
You would like to compare “the importance to care for nature and environment” (Variable: impenv), “the importance to follow traditions and customs” (Variable: imptrad) and “the importance to seek fun and things that give pleasure” (Variable: impfun).
a. Set up the hypotheses.
b. Decide on which test is most appropriate for this comparison.
c. According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses.
d. If there are significant differences, perform post-hoc tests and draw a conclusion.
Use data.world 2012 for the following tasks.
5. Compare the variable “GDP per capita” (GDPCAPITA) across the three groups of the variable “Fertility rate, total” (FERTILITY). Hint: You need to categorize FERTILITY variable into three categories: low (fertility rate 5)) on the dependent variable GDP per capita (GDPCAPITA).
Draw a design for two-way ANOVA and set up all possible hypotheses.
Decide whether this design is useful or not (Check the assumptions of this design).
Analyze the main output of this test and perform the post hoc test if needed and draw
your conclusions.
Do some search and find out what are the better alternatives to this model design.

Instructions
Final Project Assignment Instructions
Scenario Background:
A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.
You work for Mercer Human Resources. The Mercer Human Resource Consulting website lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.
More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.
https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankings
Assignment Guidance:
In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.
You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data).
Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well.
Deliverable Requirements:
This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.
The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. How to Write an Executive Summary That Gets the Job Done 2023.pdf
Things to Consider:
To help you make this decision here are some things to consider:
Based on the MLR output, what variable(s) is/are significant?
From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?
It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.
Based on the descriptive statistics, for the significant predictors, what city has the best potential?
What city or cities fall are below the median?
What city or cities are in the upper 3rd quartile?

Use data.sav  for the following tasks.
I want to see the relationship between “Total hours a week your partner spends on housework” (phwwkhs) and “Total hours a week you personally spend on housework” (hwwkhs) using correlations.
Set up the hypotheses.
Choose the appropriate correlation metric to use (use graphical methods and
numerical tests etc.).
Interpret the outcome of the correlation type chosen to evaluate the relationship
between the two variables. (Write a clear and complete sentence)
Compare the total number of years in full-or part time work (yrspdwka) between genders.
Set up the hypotheses.
Decide on which test is most appropriate for this comparison.
According to the output draw conclusions on whether there are significant differences
between the groups and answer your hypotheses. (Write a clear and understandable sentence)
Compare the variables “Total number of years in full-or part time work” (yrspdwka) and the “Years of full-time education completed” (eduyrs).
Set up the hypotheses.
Decide on which test is most appropriate for this comparison.
According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses. (Write a clear and understandable sentence)
You would like to compare “the importance to care for nature and environment” (Variable: impenv), “the importance to follow traditions and customs” (Variable: imptrad) and “the importance to seek fun and things that give pleasure” (Variable: impfun).
a. Set up the hypotheses.
b. Decide on which test is most appropriate for this comparison.
c. According to the output draw conclusions on whether there are significant
differences between the groups and answer your hypotheses.
d. If there are significant differences, perform post-hoc tests and draw a conclusion.
Use data.world 2012 for the following tasks.
5. Compare the variable “GDP per capita” (GDPCAPITA) across the three groups of the variable “Fertility rate, total” (FERTILITY). Hint: You need to categorize FERTILITY variable into three categories: low (fertility rate 5)) on the dependent variable GDP per capita (GDPCAPITA).
Draw a design for two-way ANOVA and set up all possible hypotheses.
Decide whether this design is useful or not (Check the assumptions of this design).
Analyze the main output of this test and perform the post hoc test if needed and draw
your conclusions.
Do some search and find out what are the better alternatives to this model design.

Please complete the last three questions. Parts 5 and 6. and any boxes that say error. You can view this by looking at the How did I do tab.

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I have an assignment for math 131 , hope to find an explanation and answers ASAP
* Please no handwriting , use Microsoft Word