About John Maynard Keynes

1.Explain the 4 tenets of the classical position.

2.Consequences of Pease: explain Keynes concerns regarding the Armistice

3.What did Keynes really mean by “in the long run we are all dead>”

4.Explain how the multiplier can achieve full employment

5.What did Keynes have to say about Marx and Marxism

6.Explain Keynes critique of Smith’s invisible hand doctrine

7.What was Keyne position regarding the gold standard?

1.) To the left of z=-0.175 please give answer 4 decimal places

2.) Between z=-0.96 and z=-0.36

3.) To the left z=2.22

4.) To the left of z=-2.15 and to the right of z =1.62

5.) P (z>0.82) please answer 4 place decimal

6.) P(-0.20< z < 1.88)

E.g., given an array-backed list lst containing the elements [0, 1, 2, 3, 4, ..., 98, 99], the following code:

  for x in lst.poly_iter(2, 3, 4):
      print(x)

will produce the output:

  4
  9
  18
  31
  48
  69
  94

Programming rules:

• You must adhere to the same rules when using the built-in Python list as you did in the ArrayList lab.
• You may not use any other data structures (this includes the built-in Python list).

class ArrayList:
def __init__(self):
self.data = []
  
def poly_iter(self, a, b, c):
# YOUR CODE HERE

What is the standard deviation of Stock X's returns?

What is the standard deviation of the returns of Stock X?

Note: please post your excel formulas for these problems as well.

Question 4:

Consider the following sample information for three treatment groups.

Treatment 1 Treatment 2 Treatment 3

$8 $3 $3

6 2 4

10 4 5

9 3 4

Using the 0.05 significance level, use the ANOVA method to test the null hypothesis that the three treatment means are equal.

Returns on stock X are listed below:

What is the (population) standard deviation of the data?

Please specify your answer in decimal terms and round your answer to the nearest thousandth (e.g., enter 12.3 percent as 0.123).

Note that the correct answer will be evaluated based on the full-precision result you would obtain using Excel.

Consider the data.

(a)

Compute the mean square error using equation s² = MSE =

 . (Round your answer to two decimal places.)

(b)

Compute the standard error of the estimate using equation s =

=

 . (Round your answer to three decimal places.)

(c)

Compute the estimated standard deviation of

b₁

using equation s_b1 =

. (Round your answer to three decimal places.)

(d)

Use the t test to test the following hypotheses (α = 0.05):

Find the value of the test statistic. (Round your answer to three decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. We conclude that the relationship between x and y is significant.Do not reject H₀. We cannot conclude that the relationship between x and y is significant.     Reject H₀. We conclude that the relationship between x and y is significant.Reject H₀. We cannot conclude that the relationship between x and y is significant.

(e)

Use the F test to test the hypotheses in part (d) at a 0.05 level of significance. Present the results in the analysis of variance table format.

Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to three decimal places.)

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

State your conclusion.

Reject H₀. We conclude that the relationship between x and y is significant.Do not reject H₀. We cannot conclude that the relationship between x and y is significant.     Reject H₀. We cannot conclude that the relationship between x and y is significant.Do not reject H₀. We conclude that the relationship between x and y is significant.

Brief the following case: Harris v united states

1.Citation. 2 Facts. ... 3 Issue. ... 4 Decision. ... 5 Reason.