Answer:
option B
Explanation:
In other to know how return fluctuation can be predicted with for instance, x%, predictability, one has to look at the normal distribution curve of return (average returns) to standard deviation of those returns. (check the attached file for additional details).
Hence, to be 95% sure that investment losses are less than 8% one needs to look at 95% of all returns which infact Mean return plos or minus 20. If the lower bound of this interval is less than 8% then the investment needs to be selected
check attached file for additional details
Answer:
The answer is "Option B".
Explanation:
Inferential statistics was its process through which data collection is used to conclude the property or even an implicit wave function. Its analysis infers these same features of inhabitants. Its purpose is to use statistical strategies to determine important assumptions regarding sample size, and other choices were wrong which can be defined as follows:
- In option A, it defines the average of the given values, that's why it is wrong.
- In option C, It is used to0 describes a number of samples that's why it is wrong.
FDI , Foreign direct investment
Answer:
(a) $7; $205 million
(b) $9; $195 million
(c) $400 million
(d) $390 million
(e) Loss = $10 million
Explanation:
(a) Price paid by consumers when no tariff imposed:
= Marginal cost + Distribution cost
= $6 + $1
= $7
Quantity demanded:
Q = 240 - 5P
= 240 - 5 × $7
= 240 - $35
= $205 million pounds
(b) At imposed tariff of $2 per pound, then the new price paid by consumers:
= Marginal cost + Distribution cost + Tariff
= $6 + $1 + $2
= $9
New quantity demanded:
Q = 240 - 5P
= 240 - 5 × $9
= 240 - $45
= $195 million pounds
(c) Lost consumer surplus:
= ($9 - $7)($195) + (0.5)($9 - $7)($205 - $195)
= ($2 × $195) + (0.5 × $2 × $10)
= $390 + $10
= $400 million
(d) Tax revenue collected by government:
= Quantity demanded under tariff × tariff
= $195 × $2
= $390 million
(e) Tax revenue of $390 million received is less than the value of coffee sold under tariff $400 million.
Loss = $400 million - $390 million
= $10 million