Category: uncategorised

  • Business Question

    My paper is already complete. I need it reformatted in APA format 7th edition and with the recommendations my professor made in the PDF.

    My paper, the PDF with my professors recommendations, and the original assignment instructions are attached.

  • you will summarize a speech by reorganizing the a script fol…

    Using Malala Yousufzai’s Nobel Prize speech video and the assignment description and samples provided below, summarize Barack Obama’s Nobel Prize speech. If you need, I can provide the videos, but the files are too big for me to upload here.

  • T103/TM103: Computer Organization and Architecture

    Question 1: Working with MARIE (10 Marks)

    Write a MARIE assembly program that performs the following tasks:

    Reads TWO decimal numbers A and B from the keyboard.

    If A = B, Result= 0.

    If A<B, store -1 in Result

    If A>B, Result= A-B

    Display the Result.

    You should include the MARIE code in your answer (not a screenshot!), with an explanation of your code, especially the critical instructions.

    Provide 3 screenshots of the MARIE simulator after running the program, showing the code and result for each of the above three cases.

    Instructions:

    Use the ORG instruction to start your program at address equivalent to 33610.

    Change the representation of the Input and Output windows in the simulator to Decimal.

    Make sure to include proper labels and directives at the end of your program.

    Question 2: Working with Logic Gates (10 Marks)

    You are asked to watch the video, Boolean Simplification using Karnaugh Map (Credit: ENGRTUTOR) which is found on the CLMS week 5 section of the course, and answer the following question:

    In a 4-variable Karnaugh map, some cells may be marked d (or X) to represent dont-care conditions. A dont-care means the output is unspecified for that input combination. When simplifying a function using a K-map, a dont-care cell may be treated as 1 only when it helps create a larger valid group (thus simplifying the expression). Otherwise, it is treated as 0 and ignored. There is no requirement to include all dont-cares in groups.

    Rule: Use a dont-care in a group only if it results in a simpler expression.

    Given the 4-variable K-map for F(A,B,C,D) below, answer the following:

    F C’D’ C’D CD CD’

    A’B’ 1 1 d 1

    A’B 0 d d 0

    AB d 1 d 0

    AB’ d 1 1 d

    a) Grouping decision (4 marks)

    Identify and clearly show the groups you will use in the given K-map to obtain a minimal simplified expression.

    You may treat selected dont-care (d) cells as 1 only if doing so allows the formation of a larger valid group and leads to further simplification.

    Any dont-care cell that is not required for simplification must be treated as 0 and left ungrouped.

    Clearly distinguish the dont-care cells that you chose to use (for example, by marking them in a different color or notation on the K-map).

    Briefly justify your grouping choices, explaining how the selected dont-care cells contribute to achieving the minimal expression.

    b) Minimal simplified expression (2 marks)

    Write the simplified expression of F.

    c) Complement using De Morgan (2 marks)

    Find F by applying De Morgans Law to your simplified result from part (b).

    Show steps clearly.

    Your final answer must be in POS (Product of Sums) form (you may keep it without simplification beyond De Morgan).

    d) NAND-only implementation (2 marks)

    Draw the minimal logic diagram of F using NAND gates only.

    You may use NAND as NOT (inverter) where needed.

    Your final diagram must implement the same function as in part (b).

  • Topic Analysis

    I am attaching the onstructions for this assignment and the template. You will also see the topic I have chosen under “Historical Topic Analysis”-

    Historical Topic Analysis

    Name of Chosen Historical Topic

    No Child Left Behind (NCLB, 2001): the emergence of federally based testing accountability and its impact on the working conditions of teachers.

    Guiding Question for Chosen Historical Topic

    What did the NCLB-era accountability through tests do to the working conditions and professional dispositions of teachers, such as satisfaction, perceived support, or autonomy, and what are the long-term lessons of this era that current accountability policy in the U.S. public school system should take into consideration

    Historical Topic Analysis: Journal Article Reference

    Grissom, J. A., Nicholson-Crotty, S., & Harrington, J. R. (2014). Estimating the effects of No Child Left Behind on teachers work environments and job attitudes.Educational Evaluation and Policy Analysis,36(4), 417-436.

    • Gather at least 5 sources:
      • Must include Smith textbook
      • Use peer-reviewed journal articles
      • Include Bible
      • Can use course videos/articles
    • Review APA format guidelines

    Paper Structure (in this exact order)

    1. Title Page (APA format)
      • Title based on your thesis (not assignment name)
      • Page number starts here
    2. Abstract (150250 words)
      • Summary of main ideas + conclusions
    3. Introduction
      • Introduce topic
      • End with thesis statement
    4. Summary and Context
      • Historical background of topic
      • Explain events/causes
      • Include citations
    5. Critical Analysis
      • Analyze topic
      • Include different perspectives
      • Include Biblical worldview
      • Support with research
    6. Conclusion
      • Wrap up main idea
      • Discuss implications for education today
      • Do NOT introduce new info
    7. References Page (APA)
      • Minimum 5 sources
      • Alphabetical order
      • Hanging indent
      • Double spaced

    Writing Requirements

    • Minimum 1,300 words (Introduction Conclusion only)
    • APA format
    • Cite sources throughout
    • Less than 10% direct quotes
    • Mostly paraphrase and summarize
    • Use third person (avoid I think, I believe)
  • 6050 , wk 8 discussion

    Word cloud generators have become popular tools for meetings and team-building events. Groups or teams are asked to use these applications to input words they feel best describe their team or their role. A word cloud is generated by the application that makes prominent the most-used terms, offering an image of the common thinking among participants of that role.

    What types of words would you use to build a nursing word cloud? Empathetic, organized, hard-working, or advocate would all certainly apply. Would you add policy-maker to your list? Do you think it would be a very prominent component of the word cloud?

    Nursing has become one of the largest professions in the world, and as such, nurses have the potential to influence policy and politics on a global scale. When nurses influence the politics that improve the delivery of healthcare, they are ultimately advocating for their patients. Hence, policy-making has become an increasingly popular term among nurses as they recognize a moral and professional obligation to be engaged in healthcare legislation.

    Resources

    Be sure to review the Learning Resources before completing this activity.
    Click the weekly resources link to access the resources.

    To Prepare:

    • Revisit the Congress.gov website provided in the Resources and consider the role of RNs and APRNs in policy-making.
    • Reflect on potential opportunities that may exist for RNs and APRNs to participate in the policy-making process.

    Post an explanation of at least two opportunities that exist for RNs and APRNs to actively participate in policy-making. Explain some of the challenges that these opportunities may present and describe how you might overcome these challenges. Finally, recommend two strategies you might make to better advocate for or communicate the existence of these opportunities to participate in policy-making. Be specific and provide examples.

    • Short, N. M. (2022). Milstead’s health policy and politics: A nurse’s guide (7th ed.). Jones & Bartlett Learning.
      • Chapter 4, Policy Analysis and Design (pp. 7793)
      • Chapter 9, The Influence of Patient Health Data on Health Policy (pp. 197217)
      • Chapter 10, Financing Health Care (pp. 247257 only)
    • American Nurses Association (ANA). (n.d.). . Retrieved September 20, 2018, from
    • . (n.d.). Retrieved September 20, 2018, from
    • Klein, K. J., & Sorra, J. S. (1996). . Academy of Management Review, 21 (4), 10551080.
    • Office of Policy, Performance, and Evaluation. (2019). . Centers for Disease Control and Prevention.
    • Sacristn, J., & Dilla, T. D. (2015). . Journal of Evaluation in Clinical Practice, 21 (6), 10141017.
    • Tummers, L., & Bekkers, V. (2014). . Public Management Review, 16 (4), 527547.
  • Hedonic Pricing Project Excel Regression, Data Collection &…

    I need someone to carefully read the full assignment instructions and complete all parts step-by-step for RED 362 Assignment 3 (Real Estate Development Fundamentals).

    Deadline: Must be completed by tomorrow morning (no later than 79 AM preferred so I can review before submission)

    What you need to do:

    • Answer all 10 True/False questions with brief explanations
    • Choose a single-family home priced between $600,000$700,000 (not condo/townhome/multifamily)
    • Collect 50+ recently sold comparable homes from the same area (same ZIP or within ~12 miles, last 612 months)
    • Clean the dataset and keep at least 40 valid observations
    • Build a full Excel dataset including:
      • price
      • beds
      • baths
      • interior square feet
      • lot size (if available)
      • year built
      • days on market
      • at least 2 dummy variables (ex: garage, pool, renovated, etc.)

    Excel Work Required:

    • Compute summary statistics (mean, min, max)
    • Create a scatterplot (price vs. square feet) with a linear trendline
    • Run a simple regression (price vs. square feet)
    • Run a multiple regression (include sqft, beds, baths, and at least one dummy variable)
    • Calculate predicted prices and residuals
    • Create a residual plot

    Written Analysis Required (in PDF):

    • Interpret regression coefficients in plain English
    • Compare predicted vs actual prices
    • Discuss which variables are important/unimportant
    • Identify patterns or outliers
    • Write a 4-paragraph memo explaining:
      • dataset (location, size, variables)
      • key regression findings
      • estimated value of the subject property vs actual price
      • at least 3 limitations of the analysis

    Final Deliverables:

    • 1 clean, organized PDF with all answers, charts, and explanations
    • 1 Excel file with the full dataset and all calculations
    • Clearly labeled sections and easy-to-follow formatting
    • Must follow assignment instructions exactly (professor is strict)

    Only accept if you can complete everything accurately and on time.

  • Computer Organization and Architecture

    answer this please and i need it asap
    Question 1: (7 marks)We have a list containing employees working hours. Rearrange the list sothatemployees who worked overtime ( 40 hours) appear first, and employees whoworkedless than 40 hours appear at the end. Example:Input: [35, 45, 50, 30, 42, 38]Output after rearranging: [45, 50, 42, 35, 30, 38]To answer question 1, you need to do the following:1. Write an algorithm to do the above task2. Implement the algorithm using OUBuild script following the above steps. 3. Provide 2 screenshots for different output?4. If we need to sort the values the odd and even which sorting algorithmwecanuse as an efficient one?Question 2: (3 marks)Consider a video with a resolution of 640 480, 8-bit pixels (grayscale). The videohasaframe rate of 15 frames per second (fps) and a total duration of 5 minutes. Question:How many bits and bytes are required to store the entire video?Good luckEnd of the questions

  • Real Estate Question

    Question Details:

    I need someone to carefully read the full assignment instructions and complete all parts step-by-step for RED 362 Assignment 3 (Real Estate Development Fundamentals).

    Deadline: Must be completed by 7:00 AM (strict)

    What you need to do:

    • Answer all True/False questions with brief explanations
    • Choose a single-family home priced between $600k$700k
    • Collect 50+ comparable recent home sales from the same area (last 612 months)
    • Clean the data and keep at least 40 valid observations
    • Build a full Excel dataset including:
      • price, beds, baths, square feet, lot size, year built, days on market
      • at least 2 dummy variables (ex: garage, pool, renovated, etc.)
    • In Excel:
      • Compute summary statistics (mean, min, max)
      • Create a scatterplot (price vs. square feet) with a linear trendline
      • Run a simple regression (price vs. square feet)
      • Run a multiple regression (add beds, baths, dummy variables, etc.)
      • Calculate predicted prices and residuals
      • Create a residual plot
    • Provide clear written explanations:
      • Interpret regression coefficients (in plain English)
      • Compare predicted vs actual prices
      • Discuss which variables matter
      • Identify patterns or outliers
    • Write a 4-paragraph memo explaining:
      • dataset and variables
      • key regression findings
      • estimated value of the subject property vs actual price
      • at least 3 limitations of the analysis

    Final deliverables:

    • One clean, organized PDF with all answers, charts, and explanations
    • One Excel file with the full dataset and calculations
    • Clearly labeled sections and easy-to-follow formatting
    • No shortcuts full work required
    • PLEASE READ THE ASSIGNMENT INSTRUCTIONS VERY CAREFULLY
  • enc1101 Outline

    • Part 1
    • your proposed argument topic with your classmates.
    • your personal position about this issue?
    • submit two sources

    Part 2- outline
    Example attached i files below, along with an example for part one

  • Hi pleas I need help for my homework

    Progress Check

    Use this activity to assess whether you and your peers can:

    • Under appropriate conditions, conduct a hypothesis test about a mean for a matched pairs design. State a conclusion in context.

    Directions

    Use the drop-down menu to learn about the three steps needed to complete this assignment.

    Three steps to complete the assignment

    Step 1: Review the Rubric

    • Before you submit your work, review the rubric at the bottom of this assignment.
    • Use the rubric as a checklist to determine whether you are ready to submit your work.

    Step 2: First Draft

    • Commit a good-faith effort to address each item in the Prompt section below.
    • Please be sure to number your responses and include “white space” between problem numbers. This improves the readability and flow of your work. I cannot give feedback and grade jumbled work.
    • Use either of the following options to submit your work.
      OPTION 1: You can submit a text-entry assignment (i.e. typing your answers in Canvas). To learn how to submit a text-entry assignment, use these (opens in a new tab).
      OPTION 2: You can upload your paper-and-pencil work (or the digital equivalent). To learn how to upload your paper-and-pencil work, use these (opens in a new tab). WARNING – some file types may not be visible on my end. So to learn which files you can upload, be sure to use the directions link I provided for this option.
    • Not ready to submit a good-faith effort yet? Avoid frustration – use the link to the Questions, Answers, & Tips discussion board (at the bottom of this page) to post questions about this assignment (or visit the discussion board to answer your classmates’ questions). You can also contact me directly (see the homepage for my contact information).

    Step 3: Optional Final Draft

    • After you submit your good-faith attempt to fully respond to the questions in the Prompt section below, advance to the ANSWER(S) page.
    • You can use the ANSWER(S) page to correct your work and resubmit this assignment any time before I begin grading the problems. However, to earn full credit, you are not required to submit a final draft for this assignment. But if you do submit a final draft, I will only grade it if you submitted a good-faith effort on your first draft.
    • Warning – I will only grade your most recent submission. So if you choose to submit a final draft, please do not leave anything out, and please do not direct me to read an earlier submission. To maximize your score, your most recent submission (at the time I begin grading) must be complete.

    Context

    Gosset’s Seed Plot Data

    William S. Gosset

    William S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small. At that time, Gosset contacted a famous statistician Karl Pearson (1857-1936) and was told that there were no techniques for developing probability models for small data sets. Gosset studied under Pearson, and the outcome of his study was perhaps the most famous paper in statistical literature, “The Probable Error of a Mean” (1908), which introduced the T-distribution.

    Since Gosset was employed by Guinness, any work he produced would be owned by Guinness, so he published under a pseudonym, “Student”; hence, the T-distribution is often referred to as Student’s T-distribution.

    To illustrate his analysis, Gosset used the results of seeding 11 different plots of land with two different types of seed: regular and kiln-dried. He wanted to determine if drying seeds before planting increased plant yield. Since different plots of soil may be naturally more fertile, this confounding variable was eliminated by using the matched pairs design and planting both types of seed in all 11 plots.

    The resulting data (corn yield in pounds per acre) are as follows.

    Corn Yield in Pounds per Acre
    Plot Regular seed Kiln-dried Seed
    1 1903 2009
    2 1935 1915
    3 1910 2011
    4 2496 2463
    5 2108 2180
    6 1961 1925
    7 2060 2122
    8 1444 1482
    9 1612 1542
    10 1316 1443
    11 1511 1535

    We use these data to test the hypothesis that kiln-dried seed yields more corn than regular seed.

    Because of the nature of the experimental design (matched pairs), we are testing the difference in yield.

    Differences in Corn Yield
    Plot Regular seed Kiln-dried Seed Difference
    1 1903 2009 106
    2 1935 1915 20
    3 1910 2011 101
    4 2496 2463 33
    5 2108 2180 72
    6 1961 1925 36
    7 2060 2122 62
    8 1444 1482 38
    9 1612 1542 70
    10 1316 1443 127
    11 1511 1535 24

    Note that the differences were calculated: regular kiln-dried.


    Variables

    Regular seed: regular seeds that were traditionally used for planting
    Kiln-dried seed: seeds that were kiln-dried before planting


    Data

    Open the seeds datafile in the Stats at Cuyamaca College group on StatCrunch ( – opens in a new tab).


    Prompt

    1. State the hypotheses and define the parameter.
    2. Checking conditions: Since Gosset invented the T-distribution, we will assume that his sample meets the conditions and proceed with the T-test. Regardless, answer these questions to demonstrate your understanding of the conditions for use of the T-model.

      But first you will need to review the (opens in a new tab).

      1. Which graph is used to check conditions? Why?
      2. What do we look for in the graph to verify that conditions are met?
      3. What else do we need to know about the sample of seeds before using the T-test?
    3. Use StatCrunch to find the T-score and the P-value. Hint: as you work through the StatCrunch directions, keep in mind that we want to calculate the differences as regular kiln-dried . So you will choose Regular seed for Sample 1 and Kiln-dried seed for Sample 2. ()
      Copy the information in the StatCrunch output window and paste it into the textbook with your response.
    4. State a conclusion based on the context of this scenario.

    List of StatCrunch Directions

    Click here for StatCrunch Directions

    Each link will open in a new window. To return to this assignment, either close the new tab or select the tab for this assignment.

    • (You only need to do this once.)
    • (no screenshots; please use these directions)

    Here is a PDF document with all .


    Module 22 Discussion Board

    Use the Module 22 (opens in a new tab) to ask questions or provide feedback about the problems in any Module 22 activity – including this peer-reviewed assignment.


    Review Feedback

    • Instructor feedback is only available after an assignment is graded.
    • Use these (opens in a new tab) to learn how to review feedback.

    Click the “Next” or > button to continue.

    Content by Cuyamaca College math faculty and licensed under the .

    Rubric

    Formative Assessments w/ StatCrunch

    Formative Assessments w/ StatCrunch

    Criteria Ratings Pts

    This criterion is linked to a Learning OutcomeAnswering the Prompt

    8 ptsFull CreditThe first submission demonstrates a good-faith effort to address each part of the Prompt. Either in the first draft or the optional final draft, all parts of the “Prompt” are addressed and the responses demonstrate attainment of the learning objectives in the “Progress Check” section of the assignment. The answers are correct. The writing/work is clear. The explanation/work is reasonable, well-organized, and easy to follow.6.5 ptsMostly CorrectThe first submission demonstrates a good-faith effort to address most of the Prompt. In the optional final draft all parts of the “Prompt” are addressed, and the responses demonstrate attainment of the learning objectives in the “Progress Check” section of the assignment. The answers are mostly correct. The writing/work is clear. The explanation/work is reasonable, well-organized, and easy to follow.

    3.5 ptsOne or more incorrectThe first submission demonstrates a good-faith effort to respond to a smaller portion of the Prompt. In the first draft or the optional final draft, one or more parts of the “Prompt” are not addressed or are incorrect. Or, answers do not demonstrate attainment of the learning objectives in the “Progress Check” section of the assignment. Or, answers are correct, but the writing/work is unclear, incorrect, or difficult to follow.0 ptsNo MarksThe first submission does not demonstrate a good-faith effort to address the Prompt.

    8 pts

    This criterion is linked to a Learning OutcomeStatCrunch

    2 ptsFull CreditStatCrunch graphs and/or tables are correct and embedded with your work.1 ptsPartial CreditStatCrunch graphs and/or tables are incorrect or missing important information.

    0 ptsNo CreditNo StatCrunch information is embedded with your post. Or all StatCrunch work is incorrect.

    2 pts

    Total Points: 10