Answer:
1 1
------ + -------
r^7 s^12
Step-by-step explanation:
r^(-7) + s^(-12) can be re-written as
1 1
------ + ------- by putting to use the rule:
r^7 s^12
1
x^(-a) = ----------
x^a
If a college has 17 tutors to be appointed among the students in four departments, and the number of students in each department is 315, 310, 105 and 80 respectively, the Standard Divisor is 47.647
As per the question statement, a college has 17 tutors to be appointed among the students in four departments, and the number of students in each department is 315, 310, 105 and 80 respectively.
We are required to calculate the Standard Divisor of the above mentioned problem.
To solve this question, we need to know the formula to calculate the standard divisor, which goes as,
Standard Divisor = [(Total Population)/(Number of Candidates)]
Here, the total population of students = (315 + 310 + 105 + 80) = 810
And, the number of teachers to be appointed = 17 (given)
Therefore, Standard Divisor = (810 / 17) = 47.647
- Standard Divisor: In Mathematics, standard divisor is the quotient of the total population divided by the number of seats (or other allocations) to be distributed.
To learn more about Standard Divisor, click on the link below
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Only B and F are true. The letters are set up so the parts that you choose must have the letters in the same place on each triangle.
So if ABC is a triangle congruent to PQR
Then AB is congruent to PQ because AB are the first 2 letters of ABC and PQ are the first 2 letters of PQR.
AC is congruent to PR (why?)
The probability when x is greater than 120 is 0.0367. Then the correct option is D.
<h3>What is a normal distribution?</h3>
The Gaussian Distribution is another name for it. The most significant continuous probability distribution is this one. Because the curve resembles a bell, it is also known as a bell curve.
The z-score is a statistical evaluation of a value's correlation to the mean of a collection of values, expressed in terms of standard deviation.
The mean is 95 and the standard deviation is 14. Then the probability when x > 120 will be
The z-score will be
z = (120 - 95)/ 14
z = 1.7857
Then the probability will be
P(x > 120) = P(z > 1.7857)
P(x > 120) = 1 - P(x<120)
P(x > 120) = 1 - 0.96293
P(x > 120) = 0.0367
More about the normal distribution link is given below.
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Answer:
$432
Step-by-step explanation:
400 x 1.08 = $432
Hope this helps!!