Category: Statistics

  • Title: The Impact of Social Media on Adolescent Mental Health: A Comprehensive Review of Current Research Findings

    Please conducts 10 page research paper regarding the finding that is uploaded below. Insert graphs from files when needed. I will be uploading about 3 more files this weekend to include

  • “Exploring the Impact of Social Media on Society: A Critical Discussion”

    Below i posted all the screenshots of the instructions and questions that need to be answered, also dont worry about the part under the requirnments section where it says reply to a class mates post i will do that my self. Thank You!!
    Also I Put two pages as the requirnment but it does not have to be two pages there is no specific requirnment under the instructions of how many pages there needs to be in the disscussion post so i just put two just in case

  • “Analyzing the Effects of Exercise on Physical Fitness Levels”

    So for the signature assignment, you will need to make up some data, and then create graphs based on the instructions and answer the questions

  • “Regression and Logistic Regression Analysis: Replication, Interpretation, and Summary”

    1st document: You assignment is to replicate all SPSS output found in the file Chapter 7 Regression example (not the screen shots of SPSS instructions – just the output). To receive credit you must turn in one Word file (Word files have the suffix .doc or docx). Cut and paste the output to the word file. Submit the word file to the link found under assignments. Your numbers may not match the numbers in the file exactly – that is okay!
    2nd document: In the text, there is a section in Chapter 7 labeled Interpretation of Results. Toward the end of that section there is an explanation of how to apply the raw score prediction formula to the output coefficients. In the example I provided, the coefficients are found under “unstandardized coefficients” look under the upper case B. You can see my coefficients applied to the raw score prediction formula in the textbook.
    The picture attached in the file is for this document.
    Raw Score Prediction Formula with Coefficients Added (below).
    Y-hat = .201(x) + .237(x) + .082(x) + ((-.073(x)) + 2.444
    Above is background for what you are assigned. Read carefully below to know what you are actually turning in.
    Attached is a data set labeled “secondmidtermdata.” You are to carry out a linear regression with variables B,C, and D as predictors of A. Take the resulting coefficients and apply them to the raw score prediction formula. Always use the last model to get your coefficients – in the example above we used model 3. On a single word file, cut and paste all SPSS output from this exercise. On the same file write out your application of the raw score prediction formula. You really have to read the text carefully to know what is going on here! Make sure to use forward selection for your analysis.
    3rd document: Please keep your overlap at 10% or lower. No direct quotes allowed. Write a 500-word summary of Chapter 7. The textbook is attached.
    4th document: Attached is a document labeled Logistic Regression output. You are to replicate the SPSS output found in that file. Cut and paste the output to a single word document. Please read the chapter carefully prior to doing this assignment.
    5th document: Please keep your overlap at 10% or lower. No direct quotes. Write a 500-word summary of Chapter 11. Textbook attached.

  • “Exploring the Relationship Between Statistics and Management: A Data Analysis Presentation”

    The presentation is for the class Intro to Statistics for Management. Here are the instructions for the format of the slideshow:
    Title Page – name, MAS261
    Table of Contents – neat and
    organized 
    Context – research your topic and
    discuss the content regarding your selection (2-3 paragraphs). Details
    discussed in class.
    Purpose – a statement of your
    mission
    Hypotheses –
    Null/Alternative (minimum 3) 
    Data Analysis – Excel Analysis Tool
    Pak, Histogram, Bar Charts, Scatterplot, Summary Statistics, Regression analysis- we will study this soon, 5 number
    summary, z-scores interpretation etc.)
    Conclusions – refer to your
    Hypotheses – do you accept or reject? What else? We will discuss what to
    do here
    Next Steps – what improvements would
    you make to your analysis
    What did I learn – reflection? Did
    you have fun:) What did you learn from this experience
    Citations – resource links are fine
    at the end

  • Title: Business Analytics Assignment – Monte Carlo Simulation and Linear Programming

    This is a broad assignment regarding the module Business Analytics, which explains statistical methods. In the assignment there is two questions to be solved in excel and the excel sheet is to be shared to me (including calculations and I need edit access to submit the document via excel rather than pdf). Additionally a verbal report document must be made to describe the assignment detail. The first question must be solved using the Monte Carlo Simulation and the answer calculations must be put on excel and explained in the seperate. The first question is divided into two subparts and the monte carlo simulation model will be used to find the total estimated revenue.
    The second Question regards finding the optimal solution using the excel solver and linear programing methods. I will attach my academic slides regarding optimization and how to solve this. Please follow the slides I attached regarding the lectures for the reports, and seminars for the guidance.
    Question 1 (Monte Carlo Sımulation):
    Find Descriptive Statistics for total revenue
    Define minimum number of samples using the average plot formula
    State additional assumptions and draw conclusions (max 700 words, must be written on the report)
    Question 2(Linear Programing):
    Write a mathemtaical model that finds best production when total production cost is minimized
    Implement the following model using excel solver and find optimal solution
    Instructions and details of the coursework is under the attached file. The academic slides and seminar notes are the relevant methods to be used, please follow these instead of external references. (Methods are monte carlo simulation and optimization)
    NOTE: Please upload one Excel file with two spreadsheets for each quesKon and one report. Also,
    please do not forget to aMach the submission sheet to your submission. (Excel is to be accesible for me). Please also dont share the excel sheet via pdf make it accesibble for me, and dont forget the writtne report.
    Documents to Follow: Coursework rubric for the assignment Questions and details (is a must). Lecture slides for relevant concept definitions to go under the report. Seminar slides to see how the concepts can be applied on excel and the questions can be found.

  • Title: Misleading Statistics: The Impact of Data Misuse on Decision Making Introduction: Statistics are powerful tools used to make sense of large amounts of data and draw meaningful conclusions. However, when used incorrectly or manipulated, statistics can be misleading and

    You have spent the past few weeks learning about various statistical techniques and making inferences from data. Statistics misused can mislead. Data misuse is often unintentional, but biased outcomes and consequences are still experienced.
    Research misleading statistics.
    Search the internet for two misleading graphs. Include copies of the graph in your paper.
    Analyze the graph and explain why the graphs are misleading.
    Identify any negative action that could have resulted from the misinformation from each graph.
    Create two new graphs that correct the identified issues. 
    Identify strategies you will use to prevent presenting misleading data.
    Submission Instruction
    The paper should be written in a Word document and submitted to the discussion post. Ensure you have a cover page and a reference page. Submit a Word document as an attachment to the discussion board.
    Also, attach the Excel sheet used to create your corrected graphs.
    Minimum of 3 references. APA 7 citation. 750 minimum words count.

  • Excel QM for Social Responsibility: Blood Donation, Medical Care, Discount Options, and Charity

    ___________________________________________________________________
    Quantitative Methods (STAT-201)
    Assignment 3: Excel QM (Social-Responsible)
    2nd Semester, 1444-1445 (2023-2024)
    Due date: 06 May 2024 (Time: 11:00 PM)
    Student’s Name Student’s ID Section/CRN Location Marking Scheme
    Question Score Obtained Score
    Q-1 2 Q-2 2 Q-3 2 Q-4 2 Note: You are required to fill your full name, ID, and CRN.
    Message: Social responsibility is a framework of ethics in which an individual collaborates and works with other organizations and individuals for the betterment of the community. There are numerous ways in which an organization can exhibit social responsibility; for instance, by promoting volunteerism, facilitating donations, employing ethical employment practices, and implementing environmental improvements. It introduces the subjective obligation that entails maintaining a delicate equilibrium between one’s ecosystem and the economy, as well as the potential compromises that may be made between economic progress and societal and environmental wellbeing. This transcends business organizations and affects all individuals whose actions influence the environment.
    Solve the following questions using Excel QM. (2×4 = 8 marks)
    1. Helping others through blood donation is a form of social solidarity or social responsibility. The blood donors cite a sense of social responsibility as their reason for donating blood, and as a result, the communities value and reward this activity. The following table shows the number of blood donors in a university from 2011–2023. Develop a 3-year moving average forecast and obtain the related statistical measures using excel QM. year Blood Donors
    2011 116
    2012 105
    2013 146
    2014 159
    2015 108
    2016 194
    2017 227
    2018 219
    2019 234
    2020 224
    2021 248
    2022 253
    2023 265
    2024 311
    Solution:
    2. University X has a unique on-campus dispensary that provides medical care. On a typical working day, patients arrive at the dispensary at an average rate of 2 patients per hour. There is one single nurse at the dispensary, and the average time required to give a consultation is 12 minutes.
    It is assumed that the service times can be described by the exponential distribution, and the arrival process by a Poisson distribution. You are requested to find:
    a. The average time in line,
    b. The average number of patients in line,
    c. The average time in the system,
    d. The average number of patients in the system,
    e. The probability that the dispensary is empty,
    f. The utilization factor of the system.
    Solution:
    3. Assume that you are a statistical consultant and want to provide a volunteer consultation to a start-up company as a social responsibility consultation. The company is planning to purchase a uniform outfit for their employees, and they obtained the following quantity discount table with three discount options:
    DISCOUNT NUMBER DISCOUNT QUANTITY DISCOUNT COST (SAR)
    1 0 to 49 100
    2 50 to 99 90
    3 100 and over 85
    Annual demand is 400 outfits, ordering cost is 50, and holding cost is 25% of the cost of the outfit. Use Excel QM to find the discount option with the minimum total cost.
    Solution: 4. To help needy people through charity is a form of social responsibility. The act of doing charity to help others is recognized and rewarded by all communities of the society. The following table shows the amount collected through charity and the amount spent on social development (in million dollars) in the last 8 years. Find the correlation and coefficient of determination for the given data and obtain the related statistical measures using excel QM.
    Year Amount collected(y) Amount spent(x)
    1 18 15
    2 14 10
    3 12 9
    4 15 12
    5 10 5
    6 8 4
    7 9 6
    8 6 3
    Solution:

  • “The Importance of Originality in Academic Writing” In academic writing, originality is a crucial aspect that is highly valued and expected by both students and educators. It refers to the creation of new and unique ideas, arguments, and content that have not

    Please provide an answer that is 100% original and do not copy the answer to this question from any other website since I am already well aware of this. I will be sure to check this.
    Please be sure that the answer comes up with way less than 18% on Studypool’s internal plagiarism checker since anything above this is not acceptable according to Studypool’s standards. I will not accept answers that are above this standard.
    No AI or Chatbot! I will be sure to check this.
    Requirements: Please be sure to carefully follow and address all of the requirements listed and attached Times New Roman Size 12 Font Double-Spaced APA Format Please provide an answer that is 100% original and do not copy the answer to this question from any other website since I am already well aware of this. I will be sure to check this.
    Please be sure that the answer comes up with way less than 18% on Studypool’s internal plagiarism checker since anything above this is not acceptable according to Studypool’s standards. I will not accept answers that are above this standard.
    No AI or Chatbot! I will be sure to check this.
    Please be sure to carefully follow the instructions.
    No plagiarism & No Course Hero & No Chegg. The assignment will be checked for originality via the Turnitin plagiarism tool.Please be sure to carefully follow and address all of the instructions listed and attached.

  • Regression and Logistic Regression Analysis in SPSS: Replication and Interpretation

    1st document: You assignment is to replicate all SPSS output found in the file Chapter 7 Regression example (not the screen shots of SPSS instructions – just the output). To receive credit you must turn in one Word file (Word files have the suffix .doc or docx). Cut and paste the output to the word file. Submit the word file to the link found under assignments. Your numbers may not match the numbers in the file exactly – that is okay!
    2nd document: In the text, there is a section in Chapter 7 labeled Interpretation of Results. Toward the end of that section there is an explanation of how to apply the raw score prediction formula to the output coefficients. In the example I provided, the coefficients are found under “unstandardized coefficients” look under the upper case B. You can see my coefficients applied to the raw score prediction formula in the textbook.
    The picture attached in the file is for this document.
    Raw Score Prediction Formula with Coefficients Added (below).
    Y-hat = .201(x) + .237(x) + .082(x) + ((-.073(x)) + 2.444
    Above is background for what you are assigned. Read carefully below to know what you are actually turning in.
    Attached is a data set labeled “secondmidtermdata.” You are to carry out a linear regression with variables B,C, and D as predictors of A. Take the resulting coefficients and apply them to the raw score prediction formula. Always use the last model to get your coefficients – in the example above we used model 3. On a single word file, cut and paste all SPSS output from this exercise. On the same file write out your application of the raw score prediction formula. You really have to read the text carefully to know what is going on here! Make sure to use forward selection for your analysis.
    3rd document: Please keep your overlap at 10% or lower. No direct quotes allowed. Write a 500-word summary of Chapter 7. The textbook is attached.
    4th document: Attached is a document labeled Logistic Regression output. You are to replicate the SPSS output found in that file. Cut and paste the output to a single word document. Please read the chapter carefully prior to doing this assignment.
    5th document: Please keep your overlap at 10% or lower. No direct quotes. Write a 500-word summary of Chapter 11. Textbook attached.
    Everything in a separate document.