osmanbay2580

1. Paid three months’ rent on a lease rental contract, $6,000.
2. Paid the premiums on property and casualty insurance policies, $2,400.
3. Received cash from clients as an advance payment for services to be provided and recorded it as unearned fees, $2,700

Why artificial intelligence devices are not beneficial to children? Give me 2 reasons

Answer : I think that artificial intelligence device are not beneficial to children . My first reason is that it deprives children of real emotion connection. My second reason is make people dependent .

Is that Right Answer or wrong answer

Assume Plaintiff from California sues two defendants, Defendant 1 from New York and Defendant 2 from Texas, for negligence arising from a car accident that took place in New York. Plaintiff is seeking $75,000 jointly from the defendants. Plaintiff files her case in state court. The defendants file a removal to federal court, and the plaintiff seeks a remand back to state court. How should the court rule on plaintiff’s remand?

Select one:

a. The court should not remand the case because there is diversity of citizenship.

b. The court should not remand the case because it has proper subject matter jurisdiction.

c. The court should remand the case because the claim does not raise a federal question.

d. The court should remand the case because it does not have proper subject matter jurisdiction.

e. None of the above

Paul, from California, sues Danny, from Florida, for negligence for a car accident in the proper federal court seeking $100,000 in damages.  The case moves to the discovery phase. Can Paul seek information regarding Danny's car insurance?

Select one:

a. Yes, as part of initial disclosures.

b. Yes, because Paul is seeking discovery of information relevant and proportional to the claim.

c. No, because car insurance information is private.

d. Both A and B

e. None of the above

You plan to configure a GitHub workflow that will deploy a container-based web app to Azure Web Apps.

You need to automate Azure-related tasks.

What should you add to the workflow?

Imagine that a patient arrives at the medical office you work at and is sick, vomiting, in pain, or even injured and bleeding. This is the first time the patient has been seen by your office. The office is filled with patients who need to be seen and the phone is ringing as other patients call to schedule appointments. The patient walks up the counter and... Given this scenario, explain how you, as a Medical Office Assistant, would respond.

What are molecules?

What is the reasoning of “poor diets and lack of money for health care led to serious health problems”?

Describe the colour and appearance of an opaque object the absorbs all the colours of light.

Plants absorb light energy and convert it into chemical energy.  If you shine only green light on a plant, do you think it will grow and convert the light into chemical energy? Explain your answer. 

Use light rays to show and explain how a transparent object differs from a translucent object. Explain answer and show your work.

As quality control manager at a raisin manufacturing and packaging plant, you want to ensure that all the boxes of raisins you sell are comparable, with 35 raisins in  each box. In the plant, raisins are poured into boxes until the box reaches its sale  weight. To determine whether a similar number of raisins are poured into each box, you randomly sample 25 boxes about to leave the plant and count the number of raisins in each. You find the mean number of raisins in each box to be 33.2, with s = 2.43. Perform the 4 steps of hypothesis testing to determine whether the average number of raisins per box differs from the expected average 35. Use alpha of .05 and a two-tailed test. 

An article in the journal Applied Nutritional Investigation reported the results of a comparison of two different weight-loss programs (Liao, 2007). In the study, obese participants were randomly assigned to one of two groups and the percent of body  fat loss was recorded. The soy group, a low-calorie group that ate only soy-based  proteins (M= 4.2, s=0.75) , while the traditional group, a low-calorie group that  received 2/3 of their protein from animal products and 1/3 from plant products 
(M= 5.3, s=0.41). If sM1–M2 = 0.25, s2pooled = 0.35, n1 =10, n2 = 12 is there a difference between the two diets. Use alpha of .05 and a two-tailed test to complete the 4 steps of hypothesis testing

Please show you work and most important tell me what test to use

A crane lifts a 400 kg crate upward with an acceleration of 3.00 m/?. Determine the force on the crane.

Let X be an m × m nonsingular matrix, A be an m × m matrix of constants,
and a be an m × 1 vector of constants. Find the differential and derivative of

(a) |X^2|,
(b) tr(AX^(−1)),
(c) a'X^(−1)a.

I will pay someone to help me finish this project

TO START: First, select a classification methodology to learn in your project.  Select either Classification Trees or Support Vector Machines.  Those topics are covered in the following chapters in the ISLR text:

(a) Chapter 8, pages, 303-331 covers Tree-Based Methods (or CART, short for classification and regression trees).  Only show results for classification trees, not regression trees.

(b) Chapter 9, pages, 337-368 covers SVM (“support vector machines”);

       In terms of coverage, if you pick Chapter 8, Tree-Based Methods, get through boosting.

       In Chapter 9, SVM, get through the section on support vector machines. 

Appendix. After making your choice from above, get introduced to it by walking through the lab example provided in the ISLR text.  Show that work in an Appendix, including any graphs.  On those graphs, insert your name into the titles.  To actually get the data used in the ISLR examples, you will likely need to download an R package called ISLR; it contains the data sets used in the text. 

1. [20 points]  Begin by introducing your reader to the corporation from which your stock data comes.  Tell the reader something you learned about that corporation that you found interesting, something which would demonstrate to a recruiter that you possess curiosity and the ability to employ it.

                Explain to the reader why we took two different transformations of the price data, return and risk. Illustrate your discussion with before-and-after graphics.  Review LN2.A and your LN2 homework as a refresher.

                Then, using trimmed screenshots where needed from Excel, sketch out for the reader how you converted your Yahoo-sourced stock data into lagged stock risk data set since 2006. 

1. [20] First, draw a random sample of size n=300 without replacement from your stock return data set.  Recall that your stock return data contains a HiLo return column and standardized log lag1 and log lag2 return columns.  I will call this your n=300 stock return data set.  Show and explain how this is done.

         Second, draw another random sample of size 300 without replacement from your stock return data set.  Recall that your stock risk data contains a HiLo risk column and standardized log lag1 and log lag2 columns.  I will call this your n=300 stock risk data set.

                Next, using your n=300 stock return data set, walk through the steps covered by the ISLR text for your chosen method, SVM or CART, explaining in your own words what you are doing.  Put your name into the title of any graphs you show.  Where you are unclear as to what is happening or why it is being done, say so, and document your efforts to work towards understanding.  Do not waste time trying to fake comprehension via plagiarism.

               You are welcome to read up on from other sources concerning your chosen method, including from textbooks, academic articles, and the web.  However, carefully credit the sources from which you gain insight, and do not plagiarize them!  It is natural that you will not understand much of what you read, but you can start wrestling with it and you can document that wrestling.

               Finally, run the program on your n=300 stock risk data set and compare the performance to that of your n=300 stock return data set.  Include use of the chi-square test. Discuss the differences, the reasons that these would happen, and the lessons learned about the nature of the stock market.

1. [20]  Select one of the tuning parameters or decision criteria that lie beneath the surface of your chosen methodology, CART or CART.  Engage with it by researching beyond the ISLR text.  Then experiment with it. Experiment with your data and with other data sets. Try decreasing or increasing n.  Look at other sources for help, documenting the sources.  When borrowing text, use quotation marks and footnote the source.  Do not plagiarize text or graphics.    

               Here are some examples of possibilities from Chapter 8 on CART.  On page 312, the Gini index is defined, but what is it?  Can you compute it yourself?  How is the G statistic used after it is computed?  What is it compared against?  Is that a parameter that you can tune?  Also, at the top of that page, the text says that the "...classification error rate is not sufficiently sensitive."  See if you can demonstrate a lack of sensitivity!  See if you can figure out what is meant in this context by "sensitive?"  To what is it not sensitive?  The text also says that entropy is an alternative to Gini and gives similar results.  Do you find that to be true?  

               Here is an example from Chapter 9 on SVM.  On page 346, a parameter denoted C is introduced, but what does it do?  Demonstrate that you worked diligently on this problem: the goal is to engage in with the issue, not to produce miracles of comprehension or a plagiarism dump!  Take a hands-on, practical approach: that requires experimentation. 

1. [20] Create classification space plots for both of your n=300 data sets, using your chosen methodology, SVM or CART.  Be sure to explain how you went about this.  Create the plot using the same techniques that we did in our plots for other methods.  Work it out yourself, step by step. 

                 If you are doing SVM, you will find that the SVM software automatically outputs classification space plots.  Do not show me those plots, as they will count ZERO on this assignment.  I am requiring that you create a classification space yourself,  step by step.  As we know from trying to do that ourselves, it is not easy.  Evidence of thoughtful and diligent work is more important than getting your plots to work perfectly.

1. [20]  Prepare a comparative study of knn, naive Bayes, logistic regression, and your selected method.  Make this comparison on your two n=300 data sets, splitting the data randomly in half to get the training and testing sets.

        Explain what you are doing as you go along, explain what you understand about what distinguishes the methods, discuss reasons why the results vary, and why there might be systematic differences in performance between return data and risk data.  Show classification space plots for knn, naïve Bayes, and logistic regression.  At the end, show a single table in which you summarize the overall correct forecast rate for the stock returns for the four methods; then another table summarizing the performance on the stock risk data.

Calculate M^+ and M^+ +2 for each of the molecular formulas given below:

a) C3H5Br b) C6H5Cl c) C2H3O2Cl d) C3H4NBr

2. Conduct research into physical fitness as it pertains to outdoor activities. What are the general and specific physical fitness requirements of jogging. Include the following ideas:

a) Explain the difference between general fitness and specific fitness.

b) What are the specific fitness requirements of jogging?

c) What are the methods you use to maintain the specific physical requirements of jogging?

d) What is the importance of knowing the physical requirements?

e) What is the importance of knowing your own fitness level and limitations?

f) Is cardiovascular fitness important to jogging? Why or why not?

if(1<0+1||8+8=16){printf("a")}else("b")

Write a list of 10 crisis events that have happened to you. These events can be real or fictional, serious or humorous. Describe where each event takes place (setting), what happened, and how you responded (plot).

Suppose you wanted to understand the characteristics of serial killers—which method would you use, and why?  What would be the goal? 

Determine the order of M-M bond in the complex: [Mo₂(HPO₄)₄]^2-

A student measured the concentration of H2SO4 by titrating it with 3 L of NH3 at 646 torr and 305 K. The experiment revealed that 144 mL of H2SO4 was required to neutralize the NH3. Calculate the concentration of the acid in terms of normality.

• The police find Tom in the early hours of the morning in an automobile, rummaging through a glove compartment. He tells police that he was in the car because, “I was going to steal it so I could get home.” When asked why he was looking in the glove compartment, Tom replies, “I was looking for the keys.” Discuss whether Tom’s conduct amounts to an attempt to steal the car? (5 marks)

The minute hand on a clock is 10 mm long and the hour hand is 7 mm long. How fast is the distance between the tips of the hands changing at 6:45?

Please show all work and explain. Thanks.

There ate 5 toy cars and 8 toy boats in Santa's bag. If 3 toys are selected at random, what is the probability they are all boats?

ws curve: 𝑊/𝑃= 𝑃^𝑒/𝑃(40100 + 𝑧 − 10𝑢)
production function: 𝑌 = 2𝑁
job insurance generosity: 𝑍 = 60/100
labor force: 𝐿 = 500
profit margin: 𝑚 = 1
and whose demand is characterized by the equations:
consumption: 𝐶 = 40 + 0.1(𝑌 − 𝑇)
investments:𝐼 = 14 − 20𝑖
government spending: 𝐺 = 40
taxes: 𝑇 = 40
expected inflation: 𝜋𝑒 = 0
Nominal Currency Stock: 𝑀̅ = 1000
actual cash demand: 𝑀^𝑑/𝑃 = 𝑌 − 120𝑖

1. What is the natural unemployment rate and the natural GDP of this economy? What is the equation of the aggregate supply curve (AO)?

Explain the concept of compound interest with the help of an example?

3) Challenging Gladwell's assertions in Outliers by Malcolm Gladwell

Post 2 short paragraphs challenging ideas or examples in the book, looking for flaws in Gladwell’s argument.

Show that, for linear demand (p = a – bq), per unit consumer surplus (consumer surplus divided by quantity sold) equals 0.5p/η where η is price elasticity.

ds/dt = (cos t - sin t), s {(π)/2} = 3