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Please post R codes used to arrive at the solutions

2. For question 2, you will use a subset of the mtcars data. Run the following R oodes and use the Totem-’32dataset to answer the questions (a)-(d}. R codes: set . seed (50}idx <2— samplaE32 .25,rsplace=FALSE) mtcars2 <2— mtcars[idx ,]mtcarsQlcyl <2— as . factor I: mtcara2$cylj Now, the mtccrsfl data set contains 25 observations. Consider a regression model where the response is mpgand two predictors are weight and cylinder. Note that this time, we treat the cylinder predictor as a categoricalvariable with three categories (4,6,8). Use the MLR model: Y; = ,30 + gamma + fiwjfiw-fi + 501,13ng + e;- wherean is weight, am is 1 if cyl=6 and 0 otherwise, and W152 is 1 if cyl=8 and 0 otherwise. [3.) Obtain the fitted value of mpg at weight = 3, cylinder = 6. [1 pt) [13) At a: = 0.05, test that Ho : 16mg = (15",ng = 0 vs H1 : At least one of flay“; and ficygg is nonzero. [1 pt) Suppose we wonder if there is a significant interaction between the weight and cylinder predictors. Now considera larger model Y" = 30 + Jam-Tu + lacyis‘wii + Jacyiswfl + tautqsafin’wn + fiwezcytsfiflwfl + Ei- Answer (‘3) and (‘1)using this model. {c} lUbtain the fitted value of mpg at weight = 3, cylinder = 8. [1 pt) (:1) At a = 0.05, test that H0 : fiwt5cylfi = firstqflg = D vs H1 : At least one of fiwtwm and fiwtwm is nonzero.(1 Pt)

 
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For purposes of this discussion, assume that you are a manager of an oil extraction firm currently considering two projects. As a manager, you consider yourself to be risk-averse. The first project involves extending licenses to drill in an area of Wyoming that geologists estimate will produce up to 1 million barrels of crude oil. The second project, based in Texas, involves expanding existing wells, which are producing at a rate of 2 million barrels per month. The firm’s economists predict that there is a 10 percent chance of a recession and a 90 percent chance of an economic boom. During a boom, the first project is forecasted to lose $10,000, whereas existing operations will continue to earn. $20,000. During a recession, however, the Wyoming field is projected to earn $12,000 while existing fields will lose $8,000. If the alternative is earning $3,000 on a safe asset (say, a Treasury bill), what would you do? Would you choose to expand current production by extending operations to include both projects? Would you instead concentrate on a single project? Would you instead invest in a safe asset? Why?

Document your evaluation using mean-variance analysis. Begin by summarizing the available information to document the relevant alternatives, using a tabular form such as this:

Summarize these and other factors that are essential to your decision, verbally, and using graphical representations as you find these to be applicable.

TASKS

You are the risk-averse manager of an oil extraction firm currently considering two projects. With consideration of the possible gains and losses for each project, you must decide:

  1. Would you choose to expand current production by extending operations to include both projects?
  2. Would you instead concentrate on a single project?
  3. Would you instead invest in a safe asset?
 
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“I can’t” “I won’t”, then “I don’t know how to”.

Write narrative describing how you eliminated those that remained in the “I don’t know how to” category to decide on the one issue you selected for your project. Write clear statement of the communication behavior you will address with this project and the person or people who you will be communicating with for this project

 
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For Section 4 of the Final Project you will create a guide for these areas that nonprofit boards and executive directors can use to maximize their chances for success.

Section 4 should include:

  • Strategic Thinking and Planning
  • Communications
  • Outreach

Explain the role of strategic thinking and planning in carrying out the organization’s vision and mission. Explain the elements of the strategic thinking and planning process. Include the role of the board in developing the strategic plan. Detail the communications and outreach role that the board can play in both implementing the strategic plan and attaining organizational goals and objectives.

Submit the draft of Final Project Section 4 for scholarly writing faculty review. Your draft should be 3–5 pages, contain a minimum of 5–6 specific, evidence-based best practices, and utilize proper APA formatting.

 
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For SBI4U unit 1 question 16.

when they say  Beaker B is hypotonic (makes cells gain water) and the distilled water has a lower solute concentration than the carrot which is why the water diffuses into the cell via osmosis. what cells are they referring to?

thank you

 
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Adding Your Evaluation

How does your voice fit in the scholarly conversation? How can you revise and align your opinions to participate with the intellectual discussion of your fellow scholar-practitioners?

For this Assignment, you will review the Learning Resources on sentence structure and audience. With the principles outlined in the Learning Resources in mind, it is time to join the conversation by adding your own evaluation of the three paragraphs you have written from the journal article you selected in Week 2.

To prepare for this Assignment:

·         Review the Learning Resources on audience, sentence structure, and, if necessary, the MEAL plan from Week 4.

·         Review the content of your selected journal article.

 
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For readability, please be sure to double-space your assignments. Use this provided  to submit your response to the following discussion:

 For each of the three writing prompts below, respond with about 110 – 170 words (about one paragraph each).

Prompt 1: 

In the last writing assignment about spurious correlations, you were asked to make up reasons why one variable might cause the results of another variable. In this assignment, try to think of outside factors that might be affecting more commonly accepted correlations. Or try to reverse the belief of which is the cause and which is the effect. Feel free to be creative!

Examples: Climate change vs. carbon dioxide, standardized test performance vs. career performance,…

Prompt 2:

A common example of a good use of the median is in listing a city’s median home price. This is because a few very expensive homes will skew the data the right, thus giving an average home price that is higher than a typical home price.

Explain one or more data sets that might be skewed – either to the right or to the left. Tell why they are skewed.

Examples: Salaries at your job, gas mileage of cars, weekly exercise time of a group of friends…

Prompt 3: 

Whereas skewed data is valid data that just happens to have some extreme values on the high or low end, biased data is actually not valid. Biased data is not valid because it is not representative of the population of interest. Imagine you are taking a survey about people’s thoughts on a proposed law to ban large sodas.  How might you bias the data to make it appear that the general population does indeed want the ban on sodas? Who would you survey? Where would you survey? How might you phrase your questions? You may choose another survey topic if you wish.

 
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1.    For reactions, collision theory states that in order for a reaction to occur, reactants must collide with correct orientation and enough energy.

  • Based on what you have learned about solutions, use collision theory to describe solution formation.
  • Use collision theory to explain the relationship between particle size and dissolving time.
  • Use collision theory to explain the relationship between temperature and dissolving time.
 
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For the 2 × 2 game, find the optimal strategy for each player. Be sure to check for saddle points before using the formulas.

For row player R:

r1 =  

r2 = 

For column player C:

c1 = 

c2 = 

Find the value of the game for row player R.

v =

Who is the game favorable to? This game is favorable to the row player. This game is favorable to the column player.    This is a fair game.

 
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7. For testing the hypotheses H0: P = 0.8 versus H1: P ≠ 0.8 at 1% significance level, we obtain a sample of n = 100 and p = 0.75. The Type-I error for this test is closest to:

A. 0.100

B. 0.140

C. 0.212

D. 0.010

E. 0.020

The answer is C but I don’t understand how to get there. plz show your work.

 
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