Answer:
$214,000
Explanation:
Total Revenues ($740,000 + $103,000) =$843,000
−Total Operating costs ($570,000 + $59,000)
=$629,000
= Total operating profit = $214,000
Therefore Assuming that there are no changes to the existing body shop business, operating profits would be expected to increase during 2021 by $214,000
The long-run collective supply curve shifts right if productivity increases or the price of key inputs decrease. It makes the combination of the lower inflation, higher output and lower unemployment.
<h3 /><h3>What is aggregate supply?</h3>
Aggregate supply is also called total output, it is the total production of the goods and services within an economy at the overall price at the given period.
The main two elements of aggregate supply are consumption and saving. The sum up of the national supply is the consumption expenditure and savings.
Thus, The long-run collective supply curve shifts right if productivity
For more details about aggregate supply, click here:
brainly.com/question/14098827
#SPJ4
Answer:
Glossary
Explanation:
Business functions are the activities carried out by an enterprise; they can be divided into core functions and support functions
Answer:
95% of 55 trucks will have weights between 5915.5 lbs and 6084.5 lbs
Explanation:
Complete question:
Crossett Trucking Company claims that the mean weight of its delivery trucks when they are fully loaded is 6,000 pounds and the standard deviation is 310 pounds. Assume that the population follows the normal distribution. Fifty-five trucks are randomly selected and weighed. Within what limits will 95% of the sample mean occur
- Subtract 1 from sample size to find degree of freedom(df). Here sample size is 55,so
df= 55-1= 54
- To determine α, subtract confidence interval from 1 and then divide by 2. Here confidence interval is 95% or 0.95, so
α= (1-0.95)/2= 0.025
- Use t-distribution table(see attachment) to find t-value for α=0.025 and df=54. So t=2.021(since df=54 is not listed in the table, I have used the table row corresponding to the next lowest value of df that is 40)
- divide sample deviation, 310, by root of sample size that is 55. So,
= 41.8
- Now multiply the answers from last two steps 41.8 × 2.021= 84.5
- lower limit= 6000-84.5=5915.5
- upper limit= 6000+84.5=6084.5
95% of 55 trucks have weights between 5915.5 lbs and 6084.5 lbs