Answer:
0.60
Explanation:
The midpoint formula is used to calculate elasticity by using average percentage in both price and quantity.
The formula is given below:
Percentage change in quantity =<u> (Q2 -Q1) </u> x 100
(Q2 + Q1) / 2
Percentage change in price = <u> (P2 -P1) </u> x 100
(P2 + P1) / 2
Elasticity =<u> Percentage change in price__</u>
Percentage change in quantity
Inserting the data:
Percentage change in quantity =<u> (30 -20) </u> x 100 = <u>10</u> x 100 = 40%
(30 + 20) /2 25
Percentage change in price = <u>($20 - $10)</u> x 100 = <u>10</u> x 100 = 66.6%
($20 + $10) /2 15
Elasticity of supply = <u>40%</u>
66.6%
= 0.60
Answer:
Productive; Allocative
Explanation:
The production possibility frontier shows the various combinations of two products that a limited resource.can produce.
So in competitive markets any choice along the PPF shows productive efficiency (where increased production of one good leads to reduced production of the other).
A specific choice by society on the PPF is allocatively efficient (concerned with consumer satisfaction, consumers choose which good will most satisfy them).
Answer:
D
Explanation:
A good story angle attracts attention
Answer:
$60 per unit
Explanation:
Total overheads:
= Overheads of fabrication department + Overheads of assembly department
= $90,500 + $109,700
= $200,200
Total labor hours:
= Blinks + Dinks
= (1,013 × 4) + (1,859 × 5)
= 4,052 + 9,295
= 13,347
Overhead rate per hour = Total overheads ÷ Total labor hours
= $200,200 ÷ 13,347
= $15 per hour
Total overhead cost for blinks:
= Total hours for blinks × rate per hour
= 4,052 × $15 per hour
= $60,780
Overhead cost per unit for Blinks:
= Total overhead cost for blinks ÷ Total units
= $60,780 ÷ 1,013
= $60 per unit
Answer:
The correct answer is predictive analysis.
Explanation:
Predictive analysis uses historical data to predict future events. Normally, historical data is used to create a mathematical model that captures important trends. This predictive model is then used with the current data to predict what will happen next, or to suggest actions to take in order to obtain optimal results.
Predictive analysis has received a lot of attention in recent years due to advances in the technology that supports it, especially in the areas of big data and machine learning.
