By definition, empirical probability is equal to C. Number of successful trials/Total number of trials.
<h3>What is an empirical probability?</h3>
It should be noted that empirical probability simply means a experimental probability that is based on historical data.
In this case, by definition, empirical probability is equal to the number of successful trials divided by the total number of trials.
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Answer:
C. The importance of secondary effects
Explanation:
Secondary economic impact is a study of economic activities due to recurring rounds of spending by companies, households, and the government.
Secondary effects are long term and comes after the primary effect (first round of spending).
It is also called induced economic effect.
Answer:
For April, revenue was $90,000 and labor hours were 4x[(40x6)+(25x4)]. This is 90,000/1,360 = 66.18 dollars per hour of labor. For May, revenue was $80,000 and labor hours were 4x[(40x6)+(10x2)] This is 80,000/1,040 = 77 dollars per hour of labor a difference of $ 10.82per hour. The percentage change in productivity between April and May, then, is 3.95/44.12 = 0.1634935026x 100 = 16.35%
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Answer:
the earning per common share is $3.83 per share
Explanation:
The computation of the earning per common share is shown below
= Net income ÷ weighted number of outstanding shares
= $1,143,000 ÷ (298,000 shares)
= $3.83 per share
We simply divided the net income from the weighted number of outstanding shares so that the earning per share could be determined
hence, the earning per common share is $3.83 per share
