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MAVERICK [17]
2 years ago
9

Find 9P9 and 9C9. Why do the answers differ?​

Mathematics
1 answer:
sveta [45]2 years ago
3 0

We have been given two expressions 9P9\text{ and }9C9. We are asked to find the value of each.

To find 9P9, we will use permutations formula.

^nP_r=\frac{n!}{(n-r)!}, where

P = Number of permutations,

n = The total number of objects in the set,

r = Number of objects being chosen from the set.

9P9=\frac{9!}{(9-9)!}

9P9=\frac{9\cdot 8\cdot 7\cdot 6\cdot 5\cdot 4\cdot 3\cdot 2\cdot 1}{(0)!}

9P9=\frac{362880}{1}                   Using 0!=1

9P9=362880

To find 9C9, we will use combinations formula.

^nC_r=\frac{n!}{r!(n-r)!}, where

C = Number of combinations,

n = The total number of objects in the set,

r = Number of objects being chosen from the set.

9C9=\frac{9!}{9!(9-9)!}

9C9=\frac{9!}{9!(0)!}

9C9=\frac{9!}{9!\cdot 1}     Using 0!=1

Cancelling out 9!, we will get:

9C9=\frac{1}{1}

9C9=1

The answers differ because order. With permutations we care about the order of the elements, while with combinations we don't.  

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In a systematic review with a meta-analysis, researchers combine the results of each of the individual studies to create a large
dalvyx [7]

Answer:

Power analysis

Step-by-step explanation:

Power analysis is a significant part of test structure. It permits us to decide the example size required to recognize an impact of a given size with a given level of certainty. On the other hand, it permits us to decide the likelihood of recognizing an impact of a given size with a given degree of certainty, under example size requirements. On the off chance that the likelihood is unsuitably low, we would be shrewd to adjust or forsake the analysis.

The principle reason underlying power analysis is to assist the analyst with determining the littlest example size that is appropriate to recognize the impact of a given test at the ideal degree of hugeness.

4 0
2 years ago
The number of messages arriving at a multiplexer is a Poisson random variable with mean 15 messages/second. Use the central limi
Mila [183]

Answer:

0.048 is the probability that more than 950 message arrive in one minute.

Step-by-step explanation:

We are given the following information in the question:

The number of messages arriving at a multiplexer is a Poisson random variable with mean 15 messages/second.

Let X be the number of messages arriving at a multiplexer.

Mean = 15

For poison distribution,

Mean = Variance = 15

\text{Standard Deviation} = \sqrt{\text{Variance}} = \sqrt{15} = 3.872

From central limit theorem, we have:

z = \displaystyle\frac{x-n\mu}{\sigma\sqrt{n}}

where n is the sample size.

Here, n = 1 minute = 60 seconds

P(x > 950)

P( x > 950) = P( z > \displaystyle\frac{950 - (60)(15)}{\sqrt{(15)(60)}}) = P(z > 1.667)

= 1 - P(z \leq 1.667)

Calculation the value from standard normal z table, we have,  

P(x > 950) = 1 - 0.952 = 0.048

0.048 is the probability that more than 950 message arrive in one minute.

3 0
2 years ago
Solve the equation y′ + 3y = t + e^(−2t).
Leni [432]
Hello,

I am going to remember:

y'+3y=0==>y=C*e^(-3t)

y'=C'*e^(-3t)-3C*e^(-3t)

y'+3y=C'*e^(-3t)-3Ce^(-3t)+3C*e^(-3t)=C'*e^(-3t) = t+e^(-2t)
==>C'=(t+e^(-2t))/e^(-3t)=t*e^(3t)+e^t
==>C=e^t+t*e^(3t) /3-e^(3t)/9

==>y= (e^t+t*e^(3t)/3-e^(3t)/9)*e^(-3t)+D
==>y=e^(-2t)+t/3-1/9+D
==>y=e^(-2t)+t/3+k


4 0
2 years ago
What is the quotient?<br> -4/5^2
Delicious77 [7]

Answer:

by using calculator

-16/5

4 0
2 years ago
Which equation represents the graphed function?
Alika [10]

Answer:

y = -1/3x +3

Step-by-step explanation:

First we need to find the slope

m = (y2-y1)/(x2-x1)

   = (2-3)/(3-0)

   -1/3

Then we know the y intercept( where it crosses the y axis)

It crosses at y=3

The slope intercept form is

y= mx+b  where m is the slope and b is the y intercept

y = -1/3x +3

5 0
2 years ago
Read 2 more answers
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