Narrative Essay Humanities Assignment Help

Narrative Essay Humanities Assignment Help. Narrative Essay Humanities Assignment Help.


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  • Time New Roman, 12 point font
  • 1-inch margins all around
  • Double-spaced
  • Black ink
  • Works Cited page (if outside sources used)
  • No separate cover page
  • On only the first page, in the top left corner, one below the other, put your name, my name, ENGL 1301 and the date the paper is due
  • On EVERY page (starting with the first page) in the top right corner put your last name and the page number
  • Total length of essay: 2.5 – 4 pages (double spaced, not counting works cited page; length starts with first word of introduction, not top of 1st page).
  • Minimum is 2.5 pages = 2 full pages and 15 lines on page 3; maximum is 4 pages = 4 full pages and 5 lines on page 5.

Narrative Essay Humanities Assignment Help[supanova_question]

Make a 7 slides powerpoint presentation + outline Business Finance Assignment Help

make a minimum 7-slide PowerPoint presentation + an outline for a speech for each slide (minimum 50 words for each slide)!

Students will provide an explanation on the steps needed to verify a statement. The statement to be addressed by the scientific method is as follows: “Feed a cold, starve a fever.”

add minimum 3 scholarly references

  1. How observations would be made
  2. What questions would be asked and what information was gathered
  3. The hypotheses to be formulated and tested
  4. Who would benefit and who would make use of the information obtained from the study
  5. What the predicted results would be
  6. How conclusions would be obtained

Students will prepare a minimum 7-slide PowerPoint presentation and prepare an outline for an oral presentation in the Notes section of the PowerPoint presentation with the following sections:

  1. Title
  2. Abstract
  3. Introduction (with statement of purpose and hypothesis)
  4. Materials/Methods of Testing (how observations would be made and what questions would be asked and what information was gathered)
  5. Predicted Results
  6. Discussion
  7. Conclusion (based on predicted results)
  8. References

Students should use a minimum of three scholarly sources. Remember that Wikipedia is not considered a scholarly source.

you are pretty much going to make your own on the 1-8. title, abstract, introduction, materials/methods, predicted results, discussion, conclusion , and lastly references.

is just asking how you will go about a process of scientific study using the process of ” Feed A Cold, Starve a fever”

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DATA 310 Case Study: NFL Data, Pivot Tables, and Visualization Mathematics Assignment Help

Our first case study was adapted from the INFORMS Transactions on Education article “Case–Converting Point Spreads into Probabilities: A Case Study for Teaching Business Analytics” by Eric Huggins, Matt Bailey and Ivan Guardiola. I will post their case study for you to review, but your requirements are listed here. Please submit your Excel spreadsheet with the answers to each of the questions. Suspense: Thursday, 17 September at the beginning of class (5 pm).1. Using the spreadsheet (NFL_Scores.xlsx) provided with data from the NFL 2013-16 seasons:a. Determine for each point spread what proportion of games are won by the favorite and what proportion are won by the underdog. This will be most easily by using a Pivot Table.b. In Super Bowl LIII, the Patriots were 2.5-point favorites over the Rams. What was the probability that the Patriots won? What was the probability that the Rams won?c. What is the probability that a team favored by a touchdown will win? What about a two-touchdown favorite?d. Create a scatter plot of the point spreads versus proportions using Excel. Fit a linear regression line to the data. Interpret the equation of the regression line and explain how satisfied you are with your model? Where does the model work well and where does it seem to fit poorly?e. Create a second scatter plot looking at only the data points that had both successful and unsuccessful predictions (Truncate the data of all the 100% entries). Fit a linear regression line to your new data set. Interpret the equation of the regression line and explain how satisfied you are with your model? 2. Your analysis in part one consisted of 34 point spreads and their associated probabilities from your model. In reality, there were 1,086 data points that were not evenly distributed—for example, the high point spreads of 26.5, 19.5, and 17 were rare, each occurring only once over four years, whereas 3-point games occurred 131 times! Repeat part d with all 1,086 data points, thus weighting the more common points spreads more heavily. (You will most likely want to use a VLOOKUP)3. Raw data is rarely pretty and requires some work to convert into a usable format. The four years of data in the Excel I provided were precleaned and formatted for your analysis. The raw data is available from www.goldsheet.com and will require some data cleansing to make the data match the data format in your spreadsheet. Copy the data from the “Historic Logs and Ratings” for the 2017 NFL season from the website, paste it into Excel, and clean and format it so that it looks exactly like the data in your worksheets for 2013–2016.a. Determine for each point spread what proportion of games are won by the favorite and what proportion are won by the underdog. Again, his will be most easily by using a Pivot Table.b. Create a scatter plot of the point spreads versus proportions using Excel. Fit a linear regression line to the data. Interpret the equation of the regression line. How does your linear model compare with your results from your first model?ReferencesEric Huggins, Matt Bailey, Ivan Guardiola (2020) Case–Converting Point Spreads into Probabilities: A Case Study for Teaching Business Analytics. INFORMS Transactions on Education

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Statistic Question about probability Mathematics Assignment Help

Please also show the steps/ways of calculation.

The Question is below:

Medical studies have shown that 10 out of 100 adults have heart disease. When a person with heart disease is given an EKG test, a 0.9 probability exists that the test will be positive. When a person without heart disease is given an EKG test, a 0.95 probability exists that the test will be negative. Suppose that a person arrives at an emergency room complaining of chest pains . An EKG test is given to this person.

One test result is often not sufficiently reliable due to false positive and false negative. Suppose this person is given two tests and assume the two test results are independent.

Let random variable X indicate whether someone has heart disease and the sample space is {HD = heart disease, ND = no disease}. Let random variable Y be the number of positive tests out of two EKG tests and the sample space is {0, 1, 2}.

Complete the conditional probability/likelihood table below. Use decimal and do NOT round your answer and use the exact values.

Given HD Given ND
Y = 0
Y = 1
Y = 2
1 1

Complete the joint probability table below. Use decimal and do NOT round your answer and use the exact values.

X=HD X=ND Marginal
Y=0
Y=1
Y=2
0.1 0.9 1

Complete the posterior (conditional) probability table below. Use decimal and ROUND your answer to the nearest hundred thousandth. For example, if the answer is 0.123456789, round it to 0.12346.

X=HD X=ND
Given Y=0 1
Given Y=1 1
Given Y=2 1

If both tests are positive, the probability this person has heart disease is . Use decimal and ROUND your answer to the nearest hundred thousandth.

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Make a 7 slides powerpoint presentation + outline Health Medical Assignment Help

make a minimum 7-slide PowerPoint presentation + an outline for a speech for each slide (minimum 50 words for each slide)!

Students will provide an explanation on the steps needed to verify a statement. The statement to be addressed by the scientific method is as follows: “Feed a cold, starve a fever.”

add minimum 3 scholarly references

  1. How observations would be made
  2. What questions would be asked and what information was gathered
  3. The hypotheses to be formulated and tested
  4. Who would benefit and who would make use of the information obtained from the study
  5. What the predicted results would be
  6. How conclusions would be obtained

Students will prepare a minimum 7-slide PowerPoint presentation and prepare an outline for an oral presentation in the Notes section of the PowerPoint presentation with the following sections:

  1. Title
  2. Abstract
  3. Introduction (with statement of purpose and hypothesis)
  4. Materials/Methods of Testing (how observations would be made and what questions would be asked and what information was gathered)
  5. Predicted Results
  6. Discussion
  7. Conclusion (based on predicted results)
  8. References

Students should use a minimum of three scholarly sources. Remember that Wikipedia is not considered a scholarly source.

[supanova_question]

[supanova_question]

ENGL100 essay 1 Humanities Assignment Help

Write an essay about You Could Kill What You eat. Write down your experiences and thoughts and reflections. according to https://www.alternet.org/2009/08/ever_wonder_if_yo…this article write down no less than 2 quotes.(the quote must be in this artcle)

the quotes must be Quotation Sandwich For example Vaselka discusses the multiple and complex reasons young people leave home, shedding light on her own story: “People don’t leave home because things are going well; they leave because they feel they have to, and … that’s how I felt” (Truck Stop Killer). Here, Vaselka openly reveals that there was some kind of problem in her life that compelled her to take to the streets.

Two documents are required to submit, one is the outline and the other is the complete essay.

outline needs to be written in this format

ENGL100 essay 1 Humanities Assignment Help[supanova_question]

Bethlehem Catholic Highschool Property Performance Analysis Report Economics Assignment Help

The assignment uses the total return performance of direct property, shares, A-REITs, bonds and cash over 1985-2019.

Step 1: Download the excel file “Assessment 2 Total Return Index Data”.

Step 2: Perform analysis using the data based on the questions below.

Step 3: Export analysis results (in tabulated form) into Microsoft Word and write comments for relevant questions. Please make sure tables are properly formatted. Calculation working is not required.


Overview

The aim of this assessment is to conduct the empirical property performance analysis to understand the significance and role of property in a mixed-asset portfolio over various investment horizons.

Details

You are required to assess the investment attributes of the Australian property market and other major asset classes by using the total return index of direct property (and its sub-sectors), shares, A-REITs, bonds and 90-day bills (cash). The total returns data will be available on the unit vUWS site.

Note: All numeric answers must have at least 2 decimal points and 2 significant figures

Total return performance 1985-2019

By using the total return index:

1) Graph the performance trends of direct property, shares, A-REITs and bonds over 1985-2019; comment on relevant trends.

2) Graph the performance trends of office, retail and industrial property sub-sectors over 1985-2019; comment on relevant trends.

3) Calculate the various annual returns for 1985-2019.

4) Calculate the average annual returns for each investment for the following time periods:

  • 2015-2019 (5 years)
  • 2013-2019 (7 years)
  • Pre-GFC: 1985-2006
  • Post-GFC: 2010-2019; based on the average annual return calculation, comment on their post-GFC performance in comparison to the performance observed in the pre-GFC period.

5) Calculate the average annual return and risk for each of these assets for the full period: 1985-2019; comment and compare the return and risk of these assets.

6) Calculate the correlation coefficient and construct the inter-asset correlation matrix for these assets over 1985-2019.

Note: For 4 and 5 above, use the geometric mean, not the arithmetic mean in calculating the average annual return.

7) Based on the analysis in Question 6, explain in-detail on the inter-asset correlations concerning portfolio diversification for the following scenarios:

  • do A-REITs provide an effective property investment exposure for investors?
  • are there any diversification benefits between the three direct property sub-sectors: office, retail and industrial?
  • if an investor has a traditional portfolio of shares and bonds, would the inclusion of direct property enhance diversification benefits?

8) Based on the analysis in Question 6, discuss the inflation-hedging characteristics of direct property, A-REITs, shares and bonds.

9) Based on the analysis in Question 5:

  • Construct the risk-return diagram for these investments.
  • Calculate the risk-to-return ratio and return-to-risk ratio for these investments.
  • Calculate the Sharpe ratio for these investments.
  • Comment on their risk-adjusted performance.

Note: For Question 10 onward, use the post-GFC annual returns: 2010-2019

10) By using the post-GFC annual returns: 2010-2019 calculate the portfolio return and portfolio risk for the following property-sector only investment portfolios:

  • 55% office / 45% retail
  • 40% office / 25% retail / 35% industrial

11) By using the post-GFC annual returns: 2010-2019 calculate the portfolio return and portfolio risk for the following mixed-asset investment portfolios:

  • 60% bonds / 40% shares
  • 40% bonds / 30% shares / 20% direct property / 10% A-REITs
  • Based on the analysis above, how does the inclusion of direct property and A-REITs impact the portfolio return and risk?

12) By using the post-GFC annual returns: 2010-2019, calculate the beta value and Treynor ratio for each of office, retail and industrial property; use direct property as the market benchmark. Discuss the results for these three property sectors in the context of return sensitivity, relative risk and risk-adjusted performance.

13) By using the post-GFC annual returns: 2010-2019, calculate the beta value and Treynor ratio for A-REITs; use shares as the market benchmark; Discuss the result in the context of return sensitivity, relative risk and risk-adjusted performance.

14) By using the post-GFC annual returns: 2010-2019, calculate the tracking error and information ratio for each of office, retail and industrial property; use direct property as the market benchmark; discuss the results for these three property sectors in the context of performance replication and efficiency.

15) By using the post-GFC annual returns: 2010-2019, calculate the tracking error and information ratio for A-REITs; use shares as the market benchmark; discuss the result in the context of performance replication and efficiency.

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Pay writing assignment Humanities Assignment Help

Submit two potential research topics/questions for your PSY 310 Final Paper with 2 paragraphs per proposal. That is, you’ll be asked to submit 2 paragraphs on the first topic, 2 paragraphs on the second topic.

  • Paragraph 1 – Define the subfield of psychology and describe the phenomenon/topic (i.e., why is this interesting and/or important?).
  • Paragraph 2 – Begin identifying research questions related to the topic and generate specific ideas of how to test them.(i.e., what do you want to test and how!)

ONE TOPIC MUST BE “DOES SOCIAL MEDIA HAVE AN NEGATIVE EFFECT ON BODY IMAGE?”. YOU MAY CHOOSE THE SECOND TOPIC.

Please note:

Your research questions should be: (1) Concrete (measurable, not philosophical), (2) Realistic (within the bounds of what research can do), and (3) Ethical.

Examplefor One Potential Topic (submit TWO of these [4 paragraphs total]):

The subfields of psychology that I plan to pursue are Clinical and Developmental Psychology. My primary interests are in protective factors that affect the onset of mental disorders, specifically depression. Depression is a leading cause of disability in the US, affecting more than 60 million Americans, about 19% of the US population. Therefore, it is important to study factors that may prevent an individual from developing depression. Identifying these protective factors will be important for developing prevention and intervention efforts that will decrease the risk of an individual developing depression.

Research substantiates that early life adversity is one of the most powerful prognostic features in developing depression later in life. Social buffering theorysuggests that close others can protect individuals in the face of stress by preventing elevated and prolonged stress responses, which has been in both animal and human research. Building upon previous literature, my goal is to investigate how sensitive parenting may affect the development of depression in adulthood. I plan to recruit individuals who are currently depressed who will report their parents’ level of sensitivity during childhood.

PART 2

Please annotate two references you have found related to your topic of interest.

The entry for each source should contain the following information:

  1. The full citationof the article, book, etc. in APA format.
  2. A single sentence that includes an active verb (such as “asserts,” argues,” “suggests,” “implies,” “claims,” etc.), and a clause containing the major assertion/finding of the work.
  3. A description of how the authors develop and/or support the thesis (e.g., the authors conducted a survey, experiment, literature review, etc.).
  4. Potentially relevant details such as the demographics of the participants (e.g., age, race/ethnicity, biological sex, etc.), the number of participants, recruiting procedures (e.g., recruited from the community via flyers, from the university subject pool, etc.), inclusion/exclusion criteria, and so on.
  5. A list of the variables that have been measured and/or manipulated with a brief summary of how each of these variables has been operationalized(defined; e.g depression was defined as participants’ score on the Beck Depression Inventory, student success was defined as GPA for the Fall 2020 semester, etc.).
  6. A statement about how this material can be useful to your research question.

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Assignment Computer Science Assignment Help

Using the research guide and the assignment 1 instructions, develop your outline. Submit the outline in an MS Word document file type. Utilize the standards in APA 7 for all citations or references in the outline. Ensure that the document includes your name. Do not include your student identification number. You may use the cover page from the student paper template, but it is not required. The assignment 1 instructions are at the bottom of this content folder.

Submit your outline on or before the due date.

By submitting this paper, you agree:

(1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the <a href="http://www.blackboard.com/Footer/Privacy-Policy.aspx" target="_blank">Blackboard Privacy Policy</a>;
(2) that your institution may use your paper in accordance with UC's policies; and
(3) that the use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

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Computer Vision Computer Science Assignment Help

Hello, I need someone tat can do this assigment.

CIFAR 10 has 10 categories and
60000 total images, with 6000 images per class. For HW-1, let us just take the
first 100 images from the data set per class and form a data set of 10K images
with 10 labels. Objectives are, a) [10pts] compute a HSV kmeans model with
total number of entry K=64, b) for each image compute a color histogram, c) use
Euclidean, and KL Distances to measure the similarity between two images, i.e,
have a matlab/python function,[d]=getHSVDistance(im1, im2, t); where t is the
table from Kmeans. d) randomly select 100 images from the data set, and find
the 10-nearest neighbors and find out the ratio of matching labels.

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https://anyessayhelp.com/

[supanova_question]

Assignment Computer Science Assignment Help

Using the research guide and the assignment 1 instructions, develop your outline. Submit the outline in an MS Word document file type. Utilize the standards in APA 7 for all citations or references in the outline. Ensure that the document includes your name. Do not include your student identification number. You may use the cover page from the student paper template, but it is not required. The assignment 1 instructions are at the bottom of this content folder.

Submit your outline on or before the due date.

By submitting this paper, you agree:

(1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the <a href="http://www.blackboard.com/Footer/Privacy-Policy.aspx" target="_blank">Blackboard Privacy Policy</a>;
(2) that your institution may use your paper in accordance with UC's policies; and
(3) that the use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

[supanova_question]

Computer Vision Computer Science Assignment Help

Hello, I need someone tat can do this assigment.

CIFAR 10 has 10 categories and
60000 total images, with 6000 images per class. For HW-1, let us just take the
first 100 images from the data set per class and form a data set of 10K images
with 10 labels. Objectives are, a) [10pts] compute a HSV kmeans model with
total number of entry K=64, b) for each image compute a color histogram, c) use
Euclidean, and KL Distances to measure the similarity between two images, i.e,
have a matlab/python function,[d]=getHSVDistance(im1, im2, t); where t is the
table from Kmeans. d) randomly select 100 images from the data set, and find
the 10-nearest neighbors and find out the ratio of matching labels.

[supanova_question]

https://anyessayhelp.com/

[supanova_question]

Assignment Computer Science Assignment Help

Using the research guide and the assignment 1 instructions, develop your outline. Submit the outline in an MS Word document file type. Utilize the standards in APA 7 for all citations or references in the outline. Ensure that the document includes your name. Do not include your student identification number. You may use the cover page from the student paper template, but it is not required. The assignment 1 instructions are at the bottom of this content folder.

Submit your outline on or before the due date.

By submitting this paper, you agree:

(1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the <a href="http://www.blackboard.com/Footer/Privacy-Policy.aspx" target="_blank">Blackboard Privacy Policy</a>;
(2) that your institution may use your paper in accordance with UC's policies; and
(3) that the use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

[supanova_question]

Computer Vision Computer Science Assignment Help

Hello, I need someone tat can do this assigment.

CIFAR 10 has 10 categories and
60000 total images, with 6000 images per class. For HW-1, let us just take the
first 100 images from the data set per class and form a data set of 10K images
with 10 labels. Objectives are, a) [10pts] compute a HSV kmeans model with
total number of entry K=64, b) for each image compute a color histogram, c) use
Euclidean, and KL Distances to measure the similarity between two images, i.e,
have a matlab/python function,[d]=getHSVDistance(im1, im2, t); where t is the
table from Kmeans. d) randomly select 100 images from the data set, and find
the 10-nearest neighbors and find out the ratio of matching labels.

[supanova_question]

https://anyessayhelp.com/

[supanova_question]

Assignment Computer Science Assignment Help

Using the research guide and the assignment 1 instructions, develop your outline. Submit the outline in an MS Word document file type. Utilize the standards in APA 7 for all citations or references in the outline. Ensure that the document includes your name. Do not include your student identification number. You may use the cover page from the student paper template, but it is not required. The assignment 1 instructions are at the bottom of this content folder.

Submit your outline on or before the due date.

By submitting this paper, you agree:

(1) that you are submitting your paper to be used and stored as part of the SafeAssign™ services in accordance with the <a href="http://www.blackboard.com/Footer/Privacy-Policy.aspx" target="_blank">Blackboard Privacy Policy</a>;
(2) that your institution may use your paper in accordance with UC's policies; and
(3) that the use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates.

[supanova_question]

Computer Vision Computer Science Assignment Help

Hello, I need someone tat can do this assigment.

CIFAR 10 has 10 categories and
60000 total images, with 6000 images per class. For HW-1, let us just take the
first 100 images from the data set per class and form a data set of 10K images
with 10 labels. Objectives are, a) [10pts] compute a HSV kmeans model with
total number of entry K=64, b) for each image compute a color histogram, c) use
Euclidean, and KL Distances to measure the similarity between two images, i.e,
have a matlab/python function,[d]=getHSVDistance(im1, im2, t); where t is the
table from Kmeans. d) randomly select 100 images from the data set, and find
the 10-nearest neighbors and find out the ratio of matching labels.

[supanova_question]

Narrative Essay Humanities Assignment Help

Narrative Essay Humanities Assignment Help

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