Answer:
D. rightward shift in the current supply of soybeans.
Explanation:
A shift in the supply curve is caused when factors other than price either increase the supply of a good (a shift to the right), or decrease the supply of the good (a shift to the left).
In this case, a factor other than price, the expectations of farmers (they are expectations because the lower prices have not materialized) has increased the supply of soybeans, causing a rightward shift of the supply curve of that good.
Answer:
True
Explanation:
It's A.A because it makes more sense then b Falsehood
Answer:
$165,975
Explanation:
The computation of sales budgeted is shown below:-
For computing the Sales budgeted for February first we need to compute the January and February units.
January = 10,000 + (3% × 10,000)
= 10,000 + 300
= 10,300
February = 10,000 + (3% × 10,300)
= 10,000 + 309
= 10,309
Sales budgeted for February = For February × Each electric staplers
= 10,309 × $16.10
= $165,975
So, for computing the Sales budgeted for February we simply applied the above formula. The option is not available.
"What I can do is" because it sounds a little aggressive.
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.
