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Burka [1]
1 year ago
12

A writer makes on average one typographical error every page. The writer has landed a 3-page article in an important magazine. I

f the magazine editor finds any typographical errors, they probably will not ask the writer for any more material. What is the probability that the reporter made no typographical errors for the 3-page article?
Mathematics
2 answers:
marysya [2.9K]1 year ago
8 0

Answer:

The probability that the reporter made no typographical errors for the 3-page article is 5%.

Step-by-step explanation:

Let <em>X</em> = number of typographical errors made by the writer.

The average umber of mistakes mad by the writer every page is, <em>E </em>(<em>X</em>) = 1.

The random variable <em>X</em> is defined as finite number of occurrence of a certain activity in a fixed interval of time.

A Poisson distribution is used to describe the distribution of occurrences in a certain interval.

Thus, the random variable <em>X</em> follows a Poisson distribution.

It is provided that the writer has landed a 3-page article in an important magazine.

Then the average number of mistakes in the 3 pages is:

<em>λ</em> = 3 × E (X) = 3 × 1 = 3.

The probability mass function of the Poisson random variable <em>X</em> is:

P(X=x)=\frac{e^{-3}3^{x}}{x!};\ x=0,1,2,3...

Compute the probability that the writer makes no mistake in a 3-page article as follows:

P(X=0)=\frac{e^{-3}3^{0}}{0!}=\frac{0.0498\times 1}{1}=0.0498\approx 0.05

The probability that the writer makes no mistake in a 3-page article is 0.05.

Thus, the probability that the reporter made no typographical errors for the 3-page article is 5%.

SVETLANKA909090 [29]1 year ago
4 0

Answer:

That would be 5%

Step-by-step explanation:

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The pythagorean theorem is leg^2+leg^2=hypotenuse^2 . And since 2 and 5 are legs while c variable is the hypotenuse, the equation would be 2^2+5^2=c^2, or the first option.

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The number of miles walked, y, varies directly with the number of hours walked, h. After 1.2 hours, Hal had walked 1.8 miles. Fi
Firdavs [7]

Answer:

30 divided by 1.8= 16.6

Step explanation:

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1 year ago
The Unique Glass Company reported sales of $24 million in 1995, and sales increased by 15% each year for the next 10 years.
Dimas [21]

Answer:

n + 1 = 24 million x 1.15

Step-by-step explanation:

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1 year ago
#6) Beth saved a total of $30 per month for her first car. Beth saved
cluponka [151]

Answer:

1) The domain In interval notation is [0, 20]

2) The range in interval notation is [100, 700]

Step-by-step explanation:

The given parameters are;

The amount Beth saved per month = $30

The number of months Beth saved = 20 months

The amount with which Beth opened her account = $100

Therefore, the amount of money Beth saved with respect to time is given as follows;

Y = $100 + $30 × X

Where;

Y = The amount of money Beth saved

X = The time (number of months) Beth saved

The domain is given as follows;

\{X | \ 0 \leq X \leq 20 \}

The domain in interval notation is [0, 20]

For the range, when X = 0, Y = $100

When X = 20, Y = $100 + $30 × 20 = $700

Therefore, the range is given as follows;

\{Y | \ 100 \leq Y \leq 700 \}

Which the range in interval notation is [100, 700].

6 0
2 years ago
Suppose two different methods are available for eye surgery. The probability that the eye has not recovered in a month is 0.002
umka21 [38]

Answer:

0.4007

Step-by-step explanation:

Let's define the following events:

A: method A is used

B: method B is used

NR: the eye has not recovered in a month

R: the eye is recovered in a month

The probability that the eye has not recovered in a month is 0.002 if method A is used, i.e., P(NR|A) = 0.002, so P(R|A) = 0.998.

When method B is used, the probability that the eye has not recovered in a month is 0.005, i.e., P(NR|B) = 0.005, so P(R|B) = 0.995.

40% of eye surgeries are done with method A, i.e., P(A) = 0.4

60% of eye surgeries are done with method B, i.e., P(B) = 0.6

If an eye is recovered in a month after surgery is done in the hospital, what is the probability that method A was performed? We are looking for P(A|R), then, by Bayes' Formula

P(A|R) = P(R|A)P(A)/(P(R|A)P(A) + P(R|B)P(B)) = 0.998*0.4/(0.998*0.4 + 0.995*0.6) = 0.4007

4 0
2 years ago
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