Category: Statistics

  • 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.
    Reply Reply to Comment

  • “Solving Business Problems with Excel QM”

    Instructions for Assignment 3
    Please solve all four questions in Excel QM
    You can choose either of the following two ways to upload the solution:
    1. Copy the solution from Excel QM, paste it onto the assignment worksheet (attached), and upload the Word file to the blackboard.
    2. Take a screenshot of the solution to each question and upload the PDF file of all the merged screenshots.
    The rest of the details will be written inside the
    assignment Please focus on it to get a full market 😍

  • Title: Forecasting Blood Donors at a University Using 3-Year Moving Average

    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.

  • Using RStudio on Posit Cloud: Completing HW3

    You MUST be FAMILIAR to use Rstudio on Posit cloud. Finish the HW3(attached), I have already output the script( attached), use the HW3 script to finish the questions. read the requirements carefully, if it asked to ” find it on the output”, then you will need to circle the answer and write the question number on the output. Thank you.

  • Exploring the Relationship between GDP and Life Expectancy Title: GDP and Life Expectancy Analysis Introduction: The relationship between a country’s GDP (Gross Domestic Product) and its life expectancy is a topic of interest in economics and public health.

    Hi,
    Please use R studio to complete this assignment, and upload a screenshot of the work where required.
    Instructions are attached below as well as the spreadsheet with the data.
    Thanks in advance for taking this assignment.

  • Analyzing Incorrect Exam Answers and SPSS Analysis Analyzing Incorrect Exam Answers and SPSS Analysis

    1st document: The Questions file contains the questions I got wrong. Use the attached zip folder to explain why I got the answer wrong and say which document you got it from. You have to use the attached documents in the zip to explain why I got the answer wrong and put what the correct answer is. The professor said “Take a screenshot of every question you have missed. Paste it to a word document. You may google or search YouTube if you do not know how to make a screenshot. Below each question explain why you now realize how you got the answer incorrect. Every question on the exam has an explanation on how it should be answered on the final exam discussion board or one of my exam keys provided with most homework assignments. ”
    I also attached my exam discussion board.
    2nd document: In order to receive credit for this discussion board you must carry-out an SPSS analysis, post it here and then interpret the findings. Or, you may also post two word problems with answers and explanation for credit (two word problems on the SAME post).
    Put the 1st and 2nd documents in separate documents

  • “Exploring Statistical Concepts: ESP, Critical Thinking, and Sampling Techniques”

    Instructions
    This Discussion Board requires you to answer four questions. For each question, do not simply provide an answer; make sure you explain how you arrived at that answer. Please see the corresponding grading rubric to see how each question is assessed.  This is an opportunity for you to show your knowledge and understanding of the weekly concepts.  You are strongly encouraged to respond to your classmates’ posts with positive and meaningful feedback and will receive up to one point extra credit per discussion board if you do so.  This is meant to be a place where we can learn from one another in an engaging and supportive way! 
    Questions
    1. ESP: For several years, the U.S. General Social Survey asked subjects, “How often have you felt as though you were felt you were in touch with or connected with someone when they were far away from you?”  Of 3887 sampled subjects who had an opinion, 1407 said never and 2480 said at least once.  
    a. Describe the population of interest.
    b. Calculate the descriptive statistics (sample proportions).
    c. What is the population parameter we want to draw conclusions about (make an inference about)? 
    2. Use critical thinking to develop an alternative conclusion. A study shows that the number of reported sexually transmitted diseases was significantly higher for high schools that offered courses in sex education than for high schools that did not. Conclusion: The introduction of sex education courses at the high school level has resulted in increased promiscuity among teens.  
    3. An engineer is designing a machine to manufacture gloves and she obtains the following sample of hand lengths (mm) of randomly selected adult males based on data gathered:
    173 179 207 158 196 195 214 199
    a. Define this data set as discrete or continuous. 
    b. Hand lengths are what type of level of measurement?  
    c. Compare the mean and median for this data set and if you can draw any conclusions from these values. 
    4. Explain the difference between stratified and cluster sampling.  Why do you think that cluster sampling is frequently used in practice? 
    Grading
    This discussion is worth 4 points and your post (with optional reply or replies) are due on Sunday. For more specifics on how this will be graded, refer to the rubric. 

  • “Analyzing Data and Making Predictions with Excel”

    I will attach the instructios for this assignment I will also add the link to the Excel sheet in the chat. Thank you!!!