Multiply (−4)(−2)(−5). (5 points)
2 answers:
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Following are the general entry to the given question:
For Question 1:
Date Account Titles and Explanation Dr Cr
31-Jan-2024 Revenue Service $17,500
Summary of Income $17,500
(Finishing the revenue account)
31-Jan-2024 Summary of Income $7,100
Expense of Salary $3,600
Expense on rent $1,800
Expense of Depreciation - equipment $300
Expense on Supplies $400
Expense on Utilities $1,000
(To close the expenditure account)
31-Jan-2024 Summary of Income $10,400
Retained Earnings $10,400
(To bring net income into line with retained profits)
31-Jan-2024 Retained Earnings $1,000
Dividend $1,000
(To close net dividend to retained earnings)
For Question 2:
A net income of $10,400 is generated. They may compute it by subtracting total expenses from the entire revenue.
Total Revenue= $17,500
Total Expenses=$7,100
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Answer:
0.1587
Step-by-step explanation:
Let X be the commuting time for the student. We know that . Then, the normal probability density function for the random variable X is given by
. We are seeking the probability P(X>35) because the student leaves home at 8:25 A.M., we want to know the probability that the student will arrive at the college campus later than 9 A.M. and between 8:25 A.M. and 9 A.M. there are 35 minutes of difference. So,
= 0.1587
To find this probability you can use either a table from a book or a programming language. We have used the R statistical programming language an the instruction pnorm(35, mean = 30, sd = 5, lower.tail = F)