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erma4kov [3.2K]
3 years ago
7

The number of errors in a textbook follow a poisson distribution with a mean of 0.01 errors per page. what is the probability th

at there are 3 or less errors in 100 pages? round your answer to four decimal places (e.g. 98.7654).
Mathematics
1 answer:
neonofarm [45]3 years ago
3 0
Mean number of errors in each page = 0.01
Mean number of errors in 100 pages = 0.01*100=1

It is possible to use the cumulative distribution function (CMF), but the math is a little more complex, involving the gamma-function.  Tables and software are available for that purpose.

Thus it is easier to evaluate with a calculator for the individual cases of k=0,1,2 and 3.

The Poisson distribution has a PMF (probability mass function) 
P(k):=\frac{\lambda^ke^{-\lambda}}{k!}
with λ = 1
=>
P(0):=\frac{1^0e^{-1}}{0!}=0.3678794
P(1):=\frac{1^1e^{-1}}{1!}=0.3678794
P(2):=\frac{1^2e^{-1}}{2!}=0.1839397
P(3):=\frac{1^3e^{-1}}{3!}=0.0613132
=>
P(k
or
P(k<=3)=0.9810 (to four decimal places)
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A basketball coach keeps track of the points scored per game for all of the players . She gives a trophy to the player with the
Verdich [7]

Your Question was incomplete so I will solve a similar question that will help you to tackle this kind of questions.

Q)Two university female basketball players are being considered for an award to be given to the most consistent player with the highest scoring average for the season. The number of points scored per game for all games played during the season is given by the following table. ( Table Attached)

a) Calculate the population mean and population standard deviation of the number of points scored per game for each player.

(b) Using the results of part (a) which player should receive the award.

Answer:

<h3><u>Player B should receive the award.</u></h3><h3>Step-by-step explanation:</h3>

Points of player A:- 5,32,45,25,8,10,35,12,37,21

<u>First we will calculate the mean for player A</u>

∑x =  5 + 32 + 45 + 25 + 8 + 10 + 35 + 12 + 37 + 21

∑x = 230

N = 10

<u>Mean = µ= ∑x/N = 230/10 = 23</u>

<u>Now we will calculate the standard deviation for Player A</u>

x - µ = -18 , 9, 22, 2, -15, -13, 12, 11, 14, -2

(x - µ)^2 = 324, 81, 484, 4, 225, 169, 144, 121, 196, 4

∑(x - µ)^2 = 1752

σ = sqrt( ∑((x - µ)^2/N) )

σ = sqrt(1752/10)

<u>σ = 13.236</u>

<u>Calculating mean for player B:</u>

Points of player B = 18, 20, 22, 15, 35, 24, 29, 19, 25, 23

∑x =  18 + 20 + 22 + 15 + 35 + 24 + 29 + 19 + 25 + 23

N =10

µ = 230/10

<u>µ  = 23</u>

<u>Calculating standard deviation for player B:</u>

(x - µ ) = -5, -3, -1, -8, 12, 1, 6, -4, 2, 0

(x -µ )^2 = 25, 9, 1, 64, 144, 1, 36, 16, 4, 0

∑(x - µ)^2 = 300

σ = sqrt(300/10)

<u>σ = 5.48</u>

Since both Player A and Player B have same mean we will calculated the coefficient of variation for both the players.

<u>For player A:</u>

σa/µa *100 = 13.24/23 *100 = 57.56

<u>For Player B:</u>

σb/µb *100 = 5.48/23 * 100 = 23.82

<u>Since the coefficient of variation of Player B is less than Player A hence Player B should receive the award.</u>

3 0
3 years ago
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I'm so confused!!! Please help me. I will give brainliest! :)
OverLord2011 [107]

Answer:

1)x  is 8.5 y is 1.6 b) y= 7.8 x=6.8

Step-by-step explanation:

1) you have to times 3.4 by 2.5 because if you ties 2 b 2.5 is 5. Then you have to do the opposite for y, you have to divide 4 by 2.5.

b) 10.8 / 2 is 5.4 so 15.6/2 is 7.8. 3.4 * 2 is 6.8

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3 years ago
In a class of 18 students, 5 are math majors. A group of four students is chosen at random. (Round your answers to four decimal
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Answer:

(a) 0.2721

(b) 0.7279

(c) 0.2415

Step-by-step explanation:

(a) If we choose only one student, the probability of being a math major is \frac{5}{18} (because there are 5 math majors in a class of 18 students). So, the probability of not being a math major is \frac{18}{18} - \frac{5}{18} = \frac{13}{18} (we subtract the math majors of the total of students).

But there are 4 students in the group and we need them all to be not math majors. The probability for each one of not being a math major is \frac{13}{18} and we have to multiply them because it happens all at the same time.

P (no math majors in the group) = \frac{13}{18} *\frac{13}{18}*\frac{13}{18}*\frac{13}{18} = (\frac{13}{18}) ^4 = 0.2721

(b) If the group has at least one math major, it has one, two, three or four. That's the complement (exactly the opposite) of having no math majors in the group. That means 1 = P (at least one math major) + P (no math major). We calculated this last probability in (a).

So, P (at least one math major) = 1 - P(no math major) = 1 - 0.2721 = 0.7279  

(c) In the group of 4, we need exactly 2 math majors and 2 not math majors. As we saw in (a), the probability of having a math major in the group is 5/18 and having a not math major is \frac{13}{18}. We need two of both, that's \frac{5}{18}*\frac{5}{18}*\frac{13}{18}*\frac{13}{18}. But we also need to multiply this by the combinations of getting 2 of 4, that is given by the binomial coefficient \binom{4}{2}.

So, P (exactly 2 math majors) = \binom{4}{2}*(\frac{5}{18} )^2*(\frac{13}{18})^2 = \frac{4!}{2!2!}*\frac{25}{324}*\frac{169}{324} = 0.2415

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