Answer:
4.53%
Explanation:
Data provided in the question:
Expected return = ∑ (Return × probability)
Thus,
Expected return = (0.06 × 22) + (0.92 × 13) + (0.02 × (-15))
= 12.98%
Now,
Probability Return Probability × (Return-Expected Return)²
0.06 22 0.06 × (22% - 12.98%)² = 4.8816
0.92 13 0.92 × (13% - 12.98%)² = 0.000368
0.02 -15 0.02 × (-15% - 12.98%)² = 5.657608
========================================================
Total = 20.5396%
Standard deviation = 
= √(20.5396)
= 4.53%
The correct answer for the question that is being presented above is this one: "d. Extension springs." Extension springs are fasteners that connect parts and are intended to resist pulling forces. They are designed to resist pulling forces. They are also known as <span>a </span>tension spring<span>, are helical wound coils, wrapped tightly together to create </span><span>tension.</span>
Answer:
At the end of March, Paul’s Painting hired five temporary employees to work on a project that began on April 5 and ended on April 28. Paul’s received 100% of the total payment for the project on May 3. In this situation, both cash basis accounting and GAAP require that Paul’s recognize the employees’ total salary expense in April.
Explanation:
A collection of accounting rules and standards usually followed, for financial reporting is known as GAAP (generally accepted accounting principles) .
For businesses, GAAP needs accrual accounting.
Accrual accounting operates on the basis of matching both revenue and expenses. Revenues and the related expenses occur concurrently, though the cash transaction concerning thereto might happen in some other period.
In the situation given in the question, the revenue from the project is earned in April, subsequently, the salary expense related to that work should also be recognized in the same period due to an accrual basis.
Answer:
correct option is b.0.50
Explanation:
given data
computer shop = 100 customers
purchased computer = 25
solution
we know that past data does not affect the probability of next outcome
so when they buying computer or net
so here
probability of customer buy computer is = 
= 0.5
and
probability of customer not buy computer is = = 0.5
so here chance of buying as they buying or not buying is 50 %
so correct option is b.0.50
I would recommend a savings account
