Category: Statistics

  • Appeal for AI Infraction in MBAN Program Dismissal

    PYTHON ASSIGNMENT | AIC COMMISSION | SANCTION FOR USE OF AI GENERATION TEXT – NO CITATIONS | MBAN PROGRAM | DISMISSAL
    This is my appeal to a 44% AI infraction that added to another academic infraction brings me to the dismissal from the program.
    Refer to the documents uploaded!
    I am submitting this appeal in the next 12H, However, I need to make the structure straightforward and clear. I am appealing for new evidence. In order to enhance the structure of the LETTER you must read the outcome as well as have a clear idea about academic integrity, business analytics, and AI Reports.
    Please don’t change the contents but only enhance the structure by keeping my words and my way of speaking.
    THE FOCUS OF THIS IS TO MAKE IT AS CLEAR, CONCISE, AND PROPERLY STRUCTURED AS PER FEEDBEEKS. IT HAS TO SHOW A STUDENT: I NEED TO STRUCTURE IT IN A WAY THAT SHOWCASES THESE 3 POINTS:
    1 FIRST AI CASE FOR ME
    2. SHOW COMMITMENT TO LEARNING
    3. AI USAGE –> TECHNICAL PART (IT REMAINS AT THE END OF THE APPEAL (TECHNICAL EXPLANATION IN BRIEF)
    PLASE Use a sincere and personal tone. Avoid technical terms and overly formal language.
    FEEDBACK MADE BY USING CHAT GPT:
    Quick Proofreading Guide for the Appeal Letter
    Context Understanding:
    Familiarize yourself with the outcome letter and the basics of academic integrity related to business analytics and AI.
    Key Focus Areas:
    First AI Incident:
    Clearly state at the beginning that this is your first issue involving AI in your studies.
    Commitment to Learning:
    Highlight specific actions you’ve taken to understand and ethically use AI.
    Specific AI Usage:
    Explain that AI was used mainly for text and did not significantly affect the core analytical content (80-90% of the assignment). Mention this at the end but summarize it in the executive summary.
    Executive Summary:
    Briefly mention the reason for the appeal and the new evidence.
    Summarize your first encounter with AI issues, your efforts to learn, and how AI was used.
    Technical Explanation:
    Keep this part brief and at the end. Clarify that AI was used for text, not for the main analytical content.
    Tone:
    Use a sincere and personal tone. Avoid technical terms and overly formal language.
    Structure:
    Ensure each section flows logically. Use clear headers.
    Remove any repetitive content.
    Conclusion:
    Conclude with a statement about learning from the experience and questioning the fairness of the penalty.

  • Title: “The Impact of a Master’s Degree in Human Resources Management on Employee Performance and Organizational Success: An SPSS Analysis”

    master’s degree in Human Resources Management.
    I need to do the analysis in spss and present the results. I have attached a draft of my work so far, excel with the data, a file with instructions on what I need to do, and a photo of my model. I need to submit a draft with the results by Saturday and I also need to have an explanation as I will have to present them in 5 minutes.

  • “Exploring the Effects of Sample Size on Single Sample Z Tests and Analyzing a Real Research Study”

    In this session, we are going through our first statistical test, the Single Sample Z Test (see formula sheet and chart for the Z test attached to the assignment packet).  The class videos, readings, and links, are all designed to help you understand the whole process.  Your homework submissions will also require that your diagram your research study for each problem.  From here on, we will be following this process over and over and over again.  So you will become more comfortable with this process as time goes by.
    You will have to answer two questions based on this material.  Question 1 is focused on understanding the effects of sample size on the outcome of the hypothesis test.  Assume a non-directional research question for a two-tail test (see class videos).  Question 2 is based on a real research study.  Watch for the research question to determine if the research question is a directional (one-tail) or non-directional (two-tail) question.

  • Title: Statistical Analysis of Notifiable Infectious Diseases and Conditions in the United States

    Points will be awarded for correct grammar, punctuation, spelling, and coherence/clarity of writing.
    Choose a health subject that you want to study for this report. You will need to find the data and
    enter it into SPSS. The Centers for Disease Control website (www.cdc.gov) has some data that
    might be interesting to you. Once on the site, you can search for “Summary of Notifiable
    Infectious Diseases and Conditions” which is published on an annual basis. You may want to
    view the data for a particular Health Issue over a period of years, such as by comparing 2011’s
    report with 2014’s report.
    Here is a link to CDC annual reports.
    https://www.cdc.gov/mmwr/mmwr_nd/index.html
    The California Health Information
    Survey https://healthpolicy.ucla.edu/Pages/AskCHIS.aspx also has available data for
    analysis.
    You will need to create an account to access the data set if you haven’t already created
    one.
    For this report, you will:
    • Conduct a Significance Test on that data using SPSS.
    • Create a Report using Microsoft Word which will contain the following
    four Sections: “Purpose”, “Methods”, “Analysis and Results”, and “Conclusion”.
    Purpose
    What is the purpose of your report?
    • Describe the subject and its importance
    • Describe the population or the sample
    • Describe what it is you want to show statistically
    • Describe the Null Hypothesis and the Alternate Hypothesis
    Methods
    What statistical tools will you employ?
    • Describe what SPSS tools you will use
    • Describe why you chose the particular tools
    Analysis and Results (30-pts): Describe what SPSS showed and what was the outcome.
    • Describe the results of the statistical analysis: Mean, Std. Dev., Standard Error, p-value,
    etc.
    • Show Tables, Charts, Box Plots, and Graphs, as necessary, to visually show the results
    Conclusion : What statement or statements would you make about the subject?
    • Did you Fail to Reject Ho or did you Reject Ho?
    •Did you find a Significant Difference?
    • describe the results as it relates to the chosen subject
    • Describe what your Next Steps would be.
    Quality of the Report
    • The flow of the report
    • Coherence and clarity of argument
    • Written in 3rd person (no we, I, they, etc.)
    • Spelling (use spell check)
    • Use of proper grammar
    Please make sure to use APA 7th edition format and write 5 pages double-spaced at minimum.
    NOTE: DON’T USE CHAT GPT OR PLAGIARIZED CONTENT.

  • “Social Responsibility and Statistical Analysis: A Case Study”

    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:

  • “Statistical Analysis of the Effectiveness of a New Bimetallic Thermal Sensor in Reducing Appliance Returns”

    Please see the attached. 
    The research department of an appliance
    manufacturing firm has developed a new bimetallic thermal sensor for its
    toaster. The new bimetallic thermal sensor can sense the temperature of the
    bread and move the lever arm to activate the switch. The research department
    claims that the new bimetallic thermal sensor will reduce appliance returns
    under the one-year full warranty by 2%-6%. To determine if the claim can be
    supported, the testing department selects a group of the toasters manufactured
    with the new bimetallic thermal sensor and a group with the old thermal sensor
    and subjects them to a normal year’s worth of wear. Out of 250 toasters tested
    with the new bimetallic thermal sensor, 8 would have been returned. Seventeen
    would have been returned out of the 250 toasters with the old thermal sensor.
    As the manager of the appliance manufacturing process, use a statistical
    procedure to verify or refute the research department’s claim.

  • Title: Exploring the Relationship between Demographic Factors and Job Satisfaction among Employees in a Retail Company

    HI, I will provide you with data set and I need you to do please:
    » 1. Make yourself familiar with the given data set.
    » 2. Read into the variables and get an idea of what kind of information had been collected.
    » 3. Read into scientific literature that might support the ideas you have concerning the data set.
    » 4. Make a brief literature review (only brief: the focus here is on data analysis).
    » 5. Pick variables and create hypotheses that you want to have tested according to your literature review.
    » 6. Create descriiptive statistics for variables → At least two different visualizations (bar chart, pie chart, etc.), which, of course, depend on your chosen variables. AND one table
    presenting frequencies or means, which also, of course, depends on your chosen variables.
    » 7. Test hypotheses accordingly .
    → Test two dependent hypotheses and two difference hypotheses. AND apply at least ONE multivariate method (Multiple Regression,
    ANOVA, ANCOVA, MANOVA, Discriminant Analysis, Factor Analysis).
    → 8. Report and discuss findings.
    then give me the first draft ASAP.

  • Comparing the Mean Lengths of Resident and Transient Orca Populations Introduction The orca, or killer whale, is a highly intelligent and charismatic species of cetacean found in many parts of the world. In the Pacific Northwest

    For this course project we had to compare the means of two different populations. I chose to do the resident and transient orca populations and compare their length means. below i will include the instructuions to the assigments I will also include the files of the data sets and the previous assigments done that the information is supposed to be used from. I will also include two refrences that i have used already. 
    My research question is: Does the mean of the lengths of Transient orca population differ from the mean lengths of the Resident orca population.
    Instructions: 
    Topic selection and literature review (Week 1)
    State the topic. Explain the rationale for the topic selection using support from your reference material(s).
    At least one relevant literature source is referenced in the narrative. All reference(s) including the data source are cited in APA format.
    Research Question and Descriptive Statistics (Week 2)
    The research question is clearly stated. 
    Include information regarding the source of data and method of data collection, including the area, date, variable(s), experimental/survey setting, and method of measurements.
    Report the descriptive statistics, including sample size, mean, standard deviation, and five number summary  
    Include an appropriately labeled graph (histogram).
    Confidence interval(s) of the selected variable (Week 3) 
    Report the confidence interval of the variable(s) and interpret it properly.
    Hypothesis test and the conclusion of the study (Week 4)
    Describe the null and alternative hypotheses in words and symbols.
    Clearly report the results of the hypothesis test, including selected significance level and the distribution, test statistic, p-value, and decision to reject or fail to reject the null hypothesis.
    The conclusions of the study are stated and they follow the results of the hypothesis test.
    Week 5: Report 
    In Week 5, you will create a report which summarizes all aspects of the project. 
    Report: The project report is a compilation of the information from project deliverables 1 to 4.  The deliverable for this final assignment is a report, not a resubmission of your previously submitted deliverables. You must take the information from your worksheet deliverables and create a new report document from them. Your report should include (in this order):
    Topic selection and literature review (Week 1)
    Descriptive statistics and graphs of the data set (Week 2)
    Confidence interval(s) of the selected variable (Week 3) 
    Hypothesis test and the conclusion of the study (Week 4)
    Refrences: 
    Periodic status review for the killer whale – WDFW. (n.d.). https://wdfw.wa.gov/sites/default/files/publications/01773/wdfw01773.pdf 
    https://wdfw.wa.gov/sites/default/files/publications/01773/wdfw01773.pdf
    I have also included an example that the proffessor provided us with.

  • Exploring Variables and Sampling in Healthcare Research

    Initial Post Instructions 
    Present two different types of data, or variables, used in the health field. Examples could be   blood pressure, temperature, pH, pain rating scales, pulse oximetry, % hematocrit, minute respiration, gender, age, ethnicity, etc.
    Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose.
    Also, classify each of the variables as to their level of measurement–nominal, ordinal, interval or ratio–and justify your    classifications.
    Which type of sampling could you use to gather your data? (stratified,             cluster, systematic, and convenience sampling)
    REPOND TO THIS POST
    Hello class!
    Two types of variables that are used in the healthcare field are..
    1: Blood Pressure
    2: Gender
    Classifying Each Variable:
    1: Blood pressure is a quantitative variable in this situation because it falls under numerical data. A patient’s blood pressure can be taken by using numerical values such as millimeters of mercury in the blood.
    2: Gender is a qualitative variable in this situation due to how it represents categories instead of numerical values the way that the blood pressure does. Gender can be classified as either male or female. 
    Level of Measurement:
    1: Blood pressure is at the ratio level because it has a meaningful zero point.
    2: Gender is at the nominal level because it represents categories without an inherent order or numerical significance, such as a human. 
    Sampling Method:
    Stratified sampling can be used to gather the correct facts on this data. This requires dividing the population  and randomly selecting participants from each stratum to provide their representation from various subgroups.
    References:
    Elfil, M., & Negida, A. (2017). Sampling methods in clinical research; an Educational Review. Emergency (Tehran, Iran). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5325924/ 
    Free textbooks online with no catch. OpenStax. (2017, November 29). https://openstax.org/details/books/introductory-business-statistics 
    Hayes, A. (n.d.). How stratified random sampling works, with examples. Investopedia. https://www.investopedia.com/terms/stratified_random_sampling.asp#:~:text=Stratified%20random%20sampling%20is%20a,as%20income%20or%20educational%20attainment. 
    Mrs. (2023, August 17). Random sampling in medical research: Understanding the basics. Medical Research Society. https://mrs.unizik.edu.ng/2023/05/11/random-sampling-in-medical-research-understanding-the-basics/#:~:text=Systematic%20random%20sampling%20is%20another,20th%20patient%20from%20the%20population.
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