Share holder in stock market . investment money multi national company
Answer:
Net Investment = 4,000
Explanation:
Gross Investment = 10,000
Depreciation = Market Value - Book value
Depreciation =26,000 - 20,000
Depreciation = 6,000
Net Investment = Gross Investment - Depreciation
Net Investment = 10,000 - 6,000
Net Investment = 4,000
NOTE: Gross investment for 2017 will be the 3 new beds that Sophie bought during 2017 at a total cost of 10,000. To calculate Net investment we should calculate depreciation first by deducting book value from market value.
I could be wrong but id say d
<span>Put the individual p-values in ascending order.Assign ranks to the p-values. For example, the smallest has a rank of 1, the second smallest has a rank of 2.<span>Calculate each individual p-value’s Benjamini-Hochberg critical value, using the formula (i/m)Q, where:<span>i = the individual p-value’s rank,m = total number of tests,Q = the false discovery rate (a percentage, chosen by you).</span></span>Compare your original p-values to the critical B-H from Step 3; find the largest p value that is smaller than the critical value.</span>
As an example, the following list of data shows a partial list of results from 25 tests with their p-values in column 2. The list of p-values was ordered (Step 1) and then ranked (Step 2) in column 3. Column 4 shows the calculation for the critical value with a false discovery rate of 25% (Step 3).
The bolded p-value (for Children) is the highest p-value that is also smaller than the critical value: .042 < .050. <span>All </span>values above it (i.e. those with lower p-values) are highlighted and considered significant, even if those p-values are lower than the critical values. For example, Obesity and Other Health are individually, not significant when you compare the result to the final column (e.g. .039 > .03). However, with the B-H correction, they are considered significant; in other words, you would reject the null hypothesis for those values.
Answer:
c. 24.78%
Explanation:
For computing the expected standard deviation first we have to find out the expected rate of return which is shown below:
Expected rate of return = Respective return × Respective probability
=(0.4 × -10) + (0.2 × 10) + (0.4 × 45)
= 16%
Now we have to find out the total probability which is shown below:
Probability Return Probability × (Return - Expected Return)^2
0.4 -10 0.4 × (-10-16)^2 = 270.4
0.2 10 0.2 × (10 - 16)^2 = 7.2
0.4 45 0.4 × (45 - 16)^2 = 336.4
Total = 614%
As we know that
So
Standard deviation= [Total probability × (Return - Expected Return)^2 ÷ Total probability]^(1 ÷2)
= (614)^(1 ÷ 2)
= 24.78%
