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Danielle works full-time as a systems analyst for a consulting firm. In addition, she sells plants that she raises herself in a greenhouse attached to her residence. During the past five years, the results from raising and selling the plants have been as follows: Year Net Profit (Loss) from Scenario 1:

............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

1)

a. Please create a Scenario 2, where the cumulative profits in years 1-4 are still $300 but the taxpayer would be in a better position regarding year 5 losses.

b. Comment on your answer to 2 above. Why is Scenario 2 better for the taxpayer? You may also show your erudition by citing, referencing, and attaching additional sources.

Hello. Please answer the following two-part question in Scheme. Not Python, not any form of C, but in the language Scheme. If you do not know Scheme, please do not answer the question. I've had to upload it multiple times now. Thank you.

3.1 Write a recursive function called split that takes a list and returns a list containing two lists, each of which has roughly half the items in the original list. The easiest way to do this is to alternate items between the two lists, so that (split '(1 2 3 4 5)) would return '((1 3 5) (2 4)). I recommend using two base cases: one for an empty list and the other for a list containing one item.
> (split '())

(() ())

> (split '(3))

((3) ())

> (split '(4 8))

((4) (8))

> (split '(8 6 7 5 3 0 9))

((8 7 3 9) (6 5 0))

3.2 Write a recursive function called merge that takes two sorted lists of numbers and merges them together into one sorted list containing all of the number in both lists including duplicates.
> (merge '() '())

()

> (merge '() '(1 2 3))

(1 2 3)

> (merge '(1 2 3) '())

(1 2 3)

> (merge '(2 4 7) '(1 3 5))

(1 2 3 4 5 7)

In the used car market, suppose there are nine car owners who are considering selling. The quality of their cars, Q, is 0, 1/4, 1/2, 3/4, 1, 1 1/4, 1 1/2, 1 3/4, and 2. The seller’s reservation price is $5,000*Q, and the buyer’s reservation price is $7,500*Q. (a) If the market price for a used car is $10,000, how many car owners would like to sell? (b) Based on expected quality, how many buyers would purchase a car? (c) Describe intuitively how asymmetric affects the market for used cars. Are there any equi librium prices so that supply equals demand?

Python pls

create a function called search_position. This function returns a list.

team1 = {'Fiora': {'Top': 1, 'Mid': 4, 'Bottom': 3},'Olaf': {'Top': 3, 'Mid': 2, 'Support': 4},'Yasuo': {'Mid': 2, 'Top': 5},'Shaco': {'Jungle': 4, 'Top': 2, 'Mid': 1}}

def search_position(team1):

returns

[(5, [('Top', ['Yasuo'])]),

(4, [('Mid', ['Fiora']), ('Support',['Olaf']), ('Jungle',['Shaco'])])  

(3, [('Bottom', ['Fiora']), ('Top', ['Olaf'])]),

(2, [('Mid', ['Olaf','Yasuo']), ('Top', ['Shaco'])]),

(1, [('Mid', ['Shaco'])])]

In the class MyArray, write a method named indexAndCountOfMax that on an input array of numbers, finds and returns (1) the smallest index of the largest element of the array and (2) the number of times the largest element occurs in the array. The header of the method should be public static int[ ] indexAndCountOfMax (double[ ] A). The method should return an array of length 2, where the value at index 0 is the smallest index of the largest element of ?, and the value at index 1 is the number of times the largest element occurs in ?. For example, if ? = [1, 4, 2, 3, 4, 4, 3], then indexAndCountOfMax (A) should return [1, 3] because the largest element of ? is 4, the smallest index where it occurs is 1, and it occurs 3 times in the array (at indices 1, 4 and 5).

1. Consider the following weighted averages of independent random variables X1, X2, X3, all with mean u and variance σ^2

θ1 = 1/3(X1) + 1/3(X2) + 1/3(X3)

θ2 = 1/4(X1) + 2/4(X2) + 1/4(X3)

θ3 = 2/5(X1) + 2/5(X2) + 2/5(X3)

a) Find E[θ1], E[θ2], E[θ3]

b) Are θ1, θ2 and θ3 unbiased for u? Explain

c) Find the variance for θ1, θ2 and θ3

d) If you had to use one of the above estimators, which would you pick? Explain

Part 1: WT Corp. manufactures crankshafts for 2L automotive engines. In order to attach a crankshaft to a flywheel, six holes are drilled in the flange end of the crankshaft. These holes are to be drilled 0.4750” in diameter. The holes are not threaded and go all the way through the flange. (See Figure 1.)

All six holes are drilled simultaneously. Every hour, the operator inspects four crank shafts resulting from four consecutive cycles of the drill press. All six holes on each of the four crankshafts are measured and the values are recorded. (See Table 1)

In this case each crank represents a sample. There are 6 measurements for each sample represented by the individual holes.  

Use the data in Table 1 to calculate x-bar and R values for the crank shafts. Make x-bar and R charts using the data. This should result in 2 charts with 48 points on them. Label the charts carefully. The use of Microsoft Excel is highly suggested as this data will be used more than once during this three part exercise. You may also use Minitab. Make sure you use the Line chart option.

Questions:

1. What do the charts say about the process?

2. Are there any out of control conditions?

3. In your opinion, is this the correct way to use a control chart? Why or why not?

Case Study: Use of Data for Control Charts

Part 2:

After shipping this group of crankshafts, you receive a call from your customer. They are very disturbed. Apparently, the crankshafts are not the quality expected. The customer feels that the hole diameters on each crank are not consistent. You point out that the process is under control, as verified by the control charts. In response, your customer suggests you take another look at the data.

After taking a close look at how the data is organized, you discover a small but significant point. The range chart indicates a fairly wide range of values for each subgroup. (This R chart is designed to monitor within subgroup measurements.) You realize that the average diameter is based upon the sum of the diameters found on each crankshaft. The charts do describe crankshaft to crankshaft variation, however, each of the holes is drilled using a different tool. To truly monitor the process, each tool must be monitored separately.

To measure the tool to tool variation, the data must be arranged differently. Recreate the control charts using the method indicated below to find the average and range of the data. This should result in 2 charts with 72 points each.

HOUR 1

                        Crank

Hole       1          2          3          4                   Ave.    R

1        4751    4752    4750    4750                4751    2

2        4752    4751    4750    4752                4751    2

3        4747    4752    4751    4749                4750    5

4        4745    4745    4741    4745                4744    4

5        4752    4751    4750    4752                4751    2

6        4753    4750    4752    4750                4751    3         

Questions:

Now what do the charts say about the process?

What is a likely problem that could explain what you see in the chart?

What is the difference between this charting method and the charting method used in part 1?   What part of the process are we monitoring in each of these methods?

THis is the data

Solve in excel plz

Use SPSS^® to check your mock data for the following:

• Assumptions of normality (Shapiro-Wilk)
• Homogeneity of variance (Lavene)
• Outliers
• Skewness/Kurtosis

Create a series of tables that depict your results. Do not simply paste your output from SPSS^®;

Researchers were curious on how accurate people are at judging distances in different body orientations. Participants viewed a target shown in front of them while "standing" (upright), "supine" (lying down on their back), or "prone" (lying on their stomach). They had to judge how far away the target was from them (in centimetres), then the researchers recorded the errors they made.

Using the data below, conduct a repeated measure ANOVA to determine whether different body orientations make any difference in people's judgment of distance. Use α = .05. Report η², and if the ANOVA is significant conduct a post-hoc test using Tukey’s HSD. Finally, please state all the steps in detail and the formulas you used and report your conclusion clearly in words. All calculations must be done by hand

Subject          Standing          Supine          Prone

1                        -1                     -4                 -2

2                        -3                     -2                 -3

3                         2                       2                 -1

4                         0                     -2                 -3

5                         2                     -1                   0

6                        -3                     -5                 -4

7                         4                       1                  0

8                        -2                     -3                 -2

9                         0                     -1                 -3

10                      -1                     -4                 -3

∑X²                    48                     81                61

SS                     47.6                  44.9             16.9