Answer:
On the 50th day, the purchase cost will be equal to the lease cost
Explanation:
Given that:
- Daily operating costs of $500
- Purchasing cost for the item: $10,000
- Lease amount: $700
Let x is the number of days the purchase cost be the same as the lease cost. As we now that:
The total cost should be equal to the total lease received
<=> 10,000 + 500x = 700x
<=> 200x = 10000
<=> x = 50
Hence, on the 50th day, the purchase cost will be equal to the lease cost
Answer:
$67.1 million
Explanation:
Given that,
Projected benefit obligation at the beginning of 2021 = $51 million
Service cost = $18 million
Retiree benefits = $7 million
Projected benefit obligation at December 31, 2021:
= Beginning of 2021 + Service cost + Interest cost - Retiree benefits
= $51 million + $18 million + (10% × $51 million) - $7 million
= $51 million + $18 million + $5.1 million - $7 million
= $67.1 million
A business major 87% of the time, while 16% of the time mistakenly identifies an agriculture major.
<span>Working for a mental health agency, it is next to impossible to access information. Our agency is required by law to maintain all client records for 7 years in a secured area (limited access by Executive Director & Director of Operations, No access by employees). After 7 years they are to be disposed of properly. Our agency shreds our documents personally as to not allow a private company to do so, hence there is no breach of confidentiality. Then a private company (document disposal company) removes the shredded documentation for destruction. So it would be impossible (or at least, improbable) to obtain access to our organization information through dumpster diving.</span>
Answer:
- <em>As explained below, given that the score of the person is among the 0.03125 fraction of the best applicants, </em><u><em>he can count on getting one of the jobs.</em></u>
<em></em>
Explanation:
The hint is to use <em>Chebyshev’s Theorem.</em>
Chebyshev’s Theorem applies to any data set, even if it is not bell-shaped.
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean.
For this sample you have:
- mean: 60
- standard deviation: 6
- score: 84
The number of standard deviations that 84 is from the mean is:
- k = (score - mean) / standar deviation
- k = (84 - 60) / 6 = 24 / 6 = 4
Thus, the score of the person is 4 standard deviations above the mean.
How good is that?
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean. For k = 4, that is:
- 1 - 1/4² = 1 - 1/16 = 0.9375
- That means that half of 1 - 0.9375 are above k = 4: 0.03125
- Then, 1 - 0.03125 are below k = 4: 0.96875
Since there are 70 positions and 1,000 aplicants, 70/1,000 = 0.07. The compnay should select the best 0.07 of the applicants.
Given that the score of the person is among the 0.03125 upper fraction of the applicants, this person can count of geting one of the jobs.
