The notation in its current form isn't entirely clear.
Did you mean to write 
? The 4 isn't in the square root.
If so, then the expression is in simplest form because we cannot simplify 
any further (note how 10 doesn't have any perfect square factors other than 1).
Also, the 3/4 portion is fully reduced already.
------------------------
Or,
Did you mean to write 
? This time the 4 is inside the square root.
If so, then we can simplify like this
This means that 
9514 1404 393
Answer:
x = 52
Step-by-step explanation:
The square corner symbol indicates the sum of the marked angles is 90°. (They are complementary.)
(x +3)° +35° = 90°
x° = 90° -38° = 52°
x = 52
Answer:
Step-by-step explanation:
The larger the sample size, the lower the standard deviation. The standard deviation shows how the data is spread from the mean. Therefore, benefit of increasing the sample size when trying to estimate the mean from a sample average are
a. A reduction in the bias of the estimate.
b. A reduction in the variability of the estimate.
The width of confidence interval is determined by the margin of error
Margin of error = z × s/√n
A smaller standard deviation and increased size would result to a narrower confidence interval. Therefore, increasing the sample size does not result to an increase in the width of the resulting confidence interval.
Answer: Chain of Command and Unity of Command ; Information and Intelligence Management
Step-by-step explanation:
Chain of Command typically loooks into an organization's hierarchical structure while unity of commands simply has to do with the reporting to ones designated supervisor.
Also, because maps are being produced, there'll be with the gathering, assessing, analyzing, sharing, and managing intelligence.
Therefore, the NIMS Management Characteristics that'll be supported are Chain of Command and Unity of Command ; Information and Intelligence Management.
Step-by-step explanation:
1. V is the midpoint of (SU) ̅ 1. Given
2. UV ≅ VS
2. Definition of midpoint
3. ∠RSV ≅ ∠TUV 3. Given
4. ∠SVR ≅∠UVT
4. Vertical Angle Theorem
5. ∆VUT ≅ ∆VSR 5. ASA Congruence
