Answer:
final pressure = 200KPa or 29.138psia
Explanation:
The detailed step by step calculations with appropriate conversion factors applied are as shown in the attachment.
Answer: Doctrine of ratification
Explanation:Doctrine of ratification tries to show that a person who is taking so much a time to complain has indicated that he agrees even if he doesn't without a written consent. This is to eliminate undue waste of time in business, legal an other proceedings requiring consent of both parties.
Doctrine of ratification can either be implied or expressed
Implied ratification is the type of ratification where a persons actions or body language can be seen that he has accepted.
Express ratification is a ratification where a person intentionally accept by showing either through written or verbally.
Answer:
HUMAN DEVELOPMENT
MOTOR BEHAVIOR
EXERCISE SCIENCE
MEASUREMENT AND EVALUATION
HISTORY AND PHILOSOPHY
UNIQUE ATTRIBUTES OF LEARNERS
CURRICULUM THEORY AND DEVELOPMENT
Explanation:
Answer:
It helps ensure the security of client data.
Explanation:
Cloud computing is one of the security features in networking which is being adopted by big corporations and organizations inorder to ensure smooth running of the organization.
Also, due to the sensitivity of data which some organizations deals in, they tried everything possible to protect themselves and their clients' information through use of cloud computing.<em> Data are stored in the clouds, and requires special administrative rights for it to be accessed by some of the staffs working in any given organization.</em>
Answer:
F(x) = 0 ; x < 0
0.064 ; 0 ≤ x < 1
0.352 ; 1 ≤ x < 2
0.784 ; 2 ≤ x < 3
1 ; x ≥ 3
Explanation:
Each wafer is classified as pass or fail.
The wafers are independent.
Then, we can modelate X : ''Number of wafers that pass the test'' as a Binomial random variable.
X ~ Bi(n,p)
Where n = 3 and p = 0.6 is the success probability
The probatility function is given by :
Where 
is the combinatorial number
Let's calculate f(x) :
For the cumulative distribution function that we are looking for :
The cumulative distribution function for X is :
F(x) = 0 ; x < 0
0.064 ; 0 ≤ x < 1
0.352 ; 1 ≤ x < 2
0.784 ; 2 ≤ x < 3
1 ; x ≥ 3
