Consider the data set { 3 , − 5 , 7 , 4 , 8 , 2 , 8 , − 3 , − 6 } . a. Find the average A of the data set. b. Find the median M of the data set. c. Consider the data set { 3 , − 5 , 7 , 4 , 8 , 2 , 8 , − 3 , − 6 , 2 } obtained by adding one more data point to the original data set. Find the average and median of this data set.
Consider the data set { 3 , − 5 , 7 , 4 , 8 , 2 , 8 , − 3 , − 6 } . a. Find the average A of the data set. b. Find the median M of the data set. c. Consider the data set { 3 , − 5 , 7 , 4 , 8 , 2 , 8 , − 3 , − 6 , 2 } obtained by adding one more data point to the original data set. Find the average and median of this data set.
Consider the data set
{
3
,
−
5
,
7
,
4
,
8
,
2
,
8
,
−
3
,
−
6
}
.
a. Find the average A of the data set.
b. Find the median M of the data set.
c. Consider the data set
{
3
,
−
5
,
7
,
4
,
8
,
2
,
8
,
−
3
,
−
6
,
2
}
obtained by adding one more data point to the original data set. Find the average and median of this data set.
The only problems I need help with ae the last 8 ones, Thanks
Price (S)
The graph below depicts a firm with market power. In the graph, MC represents the firm's marginal costs, ATC represents the average total costs, D represents demand, and MR represents marginal revenue.
110
70
60
50
40
30
20
MC
ATC
D
0
40
50
70
80
95
Quantity/Units
MR
a. At 60 units of output, how much would this profit-maximizing monopolist charge?
b. How many units would it produce to maximize total revenue rather than total profit?
c. What is the maximum quantity this firm can produce without incurring economic losses?
d. Calculate the firm's profit at the profit-maximizing output and price.
e. Why is this firm's marginal revenue curve below its demand curve? Explain.
A well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected.
a) Calculate the percentage of components that get rejected.
b) In a manufacturing run of 1000 units, how many are expected to be rejected?
c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.
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