Data were collected on the amount spent by 64 customers for lunch at a major Houston restaurant. These data are contained in the
1 answer:
Answer:
a) ME= 1.93
b) confidence interval= (19.59,23.45)
Explanation:
a) Sample of customers is 64, population standard deviation is 6 and confidence level is 99%
Sample mean= 21.52
Sample size= 64
Confidence level= 99%
Population standard deviation= 6
Standard error of the mean= 0.75
Z-value= -2.5758 (From Z table)
Interval half width= 1.9319
Margin of error at 99% confidence interval is 1.93 from the output.
b) Confidence interval
Interval upper limit= 19.59
Interval lower limit= 23.45
99% confidence interval is (19.59, 23.45) from the output.
ME= = 1.93
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Answer and explanation:
a.
the table below shows the impact of dropping beta product
Loss of Contribution Margin if Beta is Dropped (75,000*64) -$4,800,000
Traceable Fixed Manufacturing Overhead (123,000*33) $4,059,000
Incremental Contribution Margin from Additional Alpha Sales (15,000*72)
$1,080,000
Increase in Net Operating Income if Beta is Dropped $339,000
Notes:
Contribution Margin Per Unit (Beta) = 150 (Selling Price) - 15 (Direct Material) - 28 (Direct Labor) - 20 (Variable Manufacturing Overhead) - 23 (Variable Selling Expenses) = $64 per unit
Contribution Margin Per Unit (Alpha) = 195 (Selling Price) - 40 (Direct Material) - 34 (Direct Labor) - 22 (Variable Manufacturing Overhead) - 27 (Variable Selling Expenses) = $72 per unit
check the attached files for additional details
where 9=b, 10=c, etc
