Answer:
40.3 in²
Step-by-step explanation:
The area (A) of a trapezoid is calculated as
A = h (a + b)
where h is the height and a, b the parallel bases
Here h = 6.2, a = 8, b = 5, thus
A = × 6.2 × (8 + 5) = 3.1 × 13 = 40.3 in²
The average number of hours can be calculated using the following rule:
average number of hours = total number of hours / total number of weeks
total number of hours = 36 3/8 + 41 1/4 + 40 1/2 + 38 3/8 = 313/2 hours
total number of weeks = 4 weeks
Average number of hours per week = (313/2) / (4) = 39 1/8 hour
Based on the above calculations, the correct answer is:
C. 39 1/8 hour
What you are going to need to do ( I believe from my prior knowledge), you need to find the opposite of the 60° first. Your calculator needs to be in degree mode. 1st equation;
(60)tan(x/4sq14)
Once you find this answer, apply it to the opposite of the 60° angle on the far right.
Then you are going to do the solution of the equation I just stated above, times 4sq14 using the Pythagorean theorem theory shown down below.
a^2 + b^2 = c^2
first answer^2 + 4sq14^2 = C^2
C^2 will then provide the short legs of the larger triangle (they are congruent lengths in a 45-45-90 triangle)
Multiply the value of c times c without squaring either of them, like so, this will lead to the answer of X
C times C = “x”
Hope this helps!
Some of the non-technological barriers outline India may face are Pharmaceutical companies, and government agencies such as the Drug Administration and the National Institutes of Health.
<u>Step-by-step explanation:</u>
- Pharmaceutical companies and government agencies such as the Drug Administration possess large research data.
- If these data were shared more extensively, the resulting research taken from data could improve health spur drug development.
- Data sharing increases public trust in clinical trials.
- Much of this information is never shared.
- Retention of clinical research data by organizations leads to lost opportunities in biomedical experiments and research.
- Barriers to data sharing include concerns about data pool mining and unwarranted litigation.