Answer:
Total Insurance need $166,500
Explanation:
Life insurance [DINK method]
Amount mortgage loan (half) $145,000
Auto loan(half) $7,500
Credit card balance(half) $2,000
Other debts(half) $4,000
Funeral cost $8,000
Total Insurance need $166,500
I think both, my reasons are, first, we have more technology and better transportation that will help us, like the technology to take and give to others, and the cars and trains ect. to help us to get from one place to another a bit quicker. Also i think worse because of the green house causes, the cars,oil,and other things we use in our everyday life is slowly ruining the planet, ecosystem ect. there are downsides and upsides to both.
Answer and Explanation:
Given:
μ = 75 million
SD = 17 million
Probability (x) raw data = 110 million
Computation:
= Probability (x) < 110 million
= Probability [(x-μ) / SD] < [(110 - 75) / 17]
[(x-μ) / SD] = Z
= Probability [z] < [(35) / 17]
= Probability [z] < [2.05882353]
Using z calculator:
P-value from Z-Table:
Z score = 0.98024
Therefore, probability is 0.98024
Answer:
The portfolio SD is A. 20.65%
Explanation:
The standard deviation tells the total risk (both systematic and unsystematic) associated with a stock or a portfolio. The portfolio risk or the standard deviation of portfolio can be calculated using the following formula as attached in the picture below.
Using this formula, the standard deviation of the portfolio is:
SDp = √(0.3)² * (0.2)² + (0.7)² * (0.25)² + 2 * (0.3)*(0.7) * 0.4 * (0.2)*(0.25)
Portfolio SD = 0.20645 or 20.645% rounded off to 20.65%
Implies that, for most people, the marginal benefit of reading a second newspaper is less than the marginal cost is the fact.
<h3>What is newspaper?</h3>
Newspaper is the paper that consist of the news in it, it publishes on the daily basis with the different news, there are different kind of news present in the paper like local news, international news, celebrities news, headline, exclusive news and others.
Thus, option C is correct.
For further details about Newspaper, click here:
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