Mathematics, 02.11.2020 16:40 tottresstrinity

In the following problem, check that it is appropriate to use the normal approximation to the binomial. Then use the normal distribution to estimate the requested probabilities. It is known that 81% of all new products introduced in grocery stores fail (are taken off the market) within 2 years. If a grocery store chain introduces 60 new products, find the following probabilities. (Round your answers to four decimal places.)

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Answer from: natalie2sheffield

Complete Question

In the following problem, check that it is appropriate to use the normal approximation to the binomial. Then use the normal distribution to estimate the requested probabilities.

It is known that 81% of all new products introduced in grocery stores fail (are taken off the market) within 2 years. If a grocery store chain introduces 60 new products, find the following probabilities. (Round your answers to four decimal places.)

(a) within 2 years 47 or more fail

(b) within 2 years 58 or fewer fail

(d) within 2 years fewer than 10 succeed

P(X 47.5 ) = 0.64319

P(X < 57.5 ) = 0.9985

$P(X \le 45 ) = 0.091759$

P(X 50.5 ) = 0.26337

Step-by-step explanation:

From the question we are told that

The proportion of all new products that fail within 2 years is p = 0.81

The sample size is n = 60

Given that this is follows a binomial distribution as stated in the question we have that the mean is

$\mu = np$

=> $\mu = 60 * 0.81$

=> $\mu = 48.6$

Generally the standard deviation is mathematically represented as

$\sigma = \sqrt{n * p * (1-p)}$

=> $\sigma = \sqrt{60 * 0.81 * (1-0.81)}$

=> $\sigma =3$

Considering question a

Generally the probability that within 2 years 47 or more fail is mathematically evaluated using normal approximation as follows

$P(X 47 ) = P(\frac{X - \mu}{\sigma } \frac{47 - 48.6}{3} )$

Now applying continuity correction we have

$P(X (47+0.5) ) = P(\frac{X - \mu}{\sigma } \frac{(47+0.5) - 48.6}{3} )$

=> $P(X 47.5 ) = P(\frac{X - \mu}{\sigma } -0.367 )$

$\frac{X -\mu}{\sigma } = Z (The \ standardized \ value\ of \ X )$

=> P(X 47.5 ) = P(Z -0.367 )

From the z table

The area under the normal curve to the right corresponding to -0.367 is

P(Z -0.367 ) = 0.64319

P(X 47.5 ) = 0.64319

Considering question b

Generally the probability that within 2 years 58 or fewer fail is mathematically evaluated using normal approximation as follows

$P(X < 58 ) = P(\frac{X - \mu}{\sigma } < \frac{58 - 48.6}{3} )$

Now applying continuity correction we have

$P(X < (58-0.5) ) = P(\frac{X - \mu}{\sigma } < \frac{(58-0.5) - 48.6}{3} )$

=> $P(X < 57.5 ) = P(\frac{X - \mu}{\sigma }$

$\frac{X -\mu}{\sigma } = Z (The \ standardized \ value\ of \ X )$

=> P(X 57.5 ) = P(Z

From the z table

The area under the normal curve to the right corresponding to -0.367 is

P(Z

P(X < 57.5 ) = 0.9985

Considering question c

Generally the probability that within 2 years 15 or more succeed is equivalent to the probability that within 2 years at most (60 - 15 = 45 ) new product will fail

Generally the probability that within 2 years at most 45 new product will fail is mathematically evaluated using normal approximation as follows

$P(X \le 45 ) = 1- P(X 45 )$

Here

$P(X 45 ) = P(\frac{X - \mu}{ \sigma} \frac{45 -48.6}{3} )$

Now applying continuity correction we have

$P(X (45+0.5) ) = P(\frac{X - \mu}{\sigma } \frac{(45+0.5) - 48.6}{3} )$

=> $P(X 45.5 ) = P(\frac{X - \mu}{\sigma } -1.033 )$

$\frac{X -\mu}{\sigma } = Z (The \ standardized \ value\ of \ X )$

=> P(X 45.5 ) = P(Z -1.033 )

From the z table

The area under the normal curve to the right corresponding to -1.33 is

P(Z -1.33 ) = 0.90824

P(X 45.5 ) = 0.90824

Hence

$P(X \le 45 ) = 1- 0.90824$

=> $P(X \le 45 ) = 0.091759$

Considering question d

Generally the probability that within 2 years fewer than 10 succeed is equivalent to the probability that within 2 years (60 - 10 = 50 ) or more new product will fail

Generally the probability that within 2 years 50 or more fail is mathematically evaluated using normal approximation as follows

$P(X 50 ) = P(\frac{X - \mu}{\sigma } \frac{50 - 48.6}{3} )$

Now applying continuity correction we have

$P(X (50+0.5) ) = P(\frac{X - \mu}{\sigma } \frac{(50+0.5) - 48.6}{3} )$

=> $P(X 50.5 ) = P(\frac{X - \mu}{\sigma } 0.633 )$

$\frac{X -\mu}{\sigma } = Z (The \ standardized \ value\ of \ X )$

=> P(X 50.5 ) = P(Z 0.633 )

From the z table

The area under the normal curve to the right corresponding to -0.367 is

P(Z 0.633 ) = 0.26337

P(X 50.5 ) = 0.26337

Answer from: Quest

y=1/4x-4

step-by-step explanation:

Here’s a graph of a linear function. write the equation that describes that function

Answer from: Quest

d. $180

step-by-step explanation:

if the dimensions of the room is 9ft by 12 ft, we have the area of the floor as,

$a=9\times 12=108\text {ft^2}$

so the area of the floor is 108 square feet, converting that into square yards we get,

$108 \times 0.1111= 12 \text{yd^2}$

the cost of carpet is $15 per square yard, therefore the cost of carpet for 12 square yards is,

$\$15 \times 12=\$180$

hence, the cost of carpet is $180.

assuming the dimensions of the room be,

15 ft by 12 ft

so, the area of the floor of that room is,

$a = 12 \times 15=180\text {ft}^2$

we can convert 180 square feet into square yards, we know that,

1 sq ft = 0.111 sq yard

so, 180 square feet is,

$180 \times 0.111=20 \text {yd}^2$

so the area of floor is 20 square yards.

now, the cost of carpet is 15 dollars per square yard, therefore the cost of carpet for 20 square yards is,

$\$15 \times 20= \$300$

so, it will cost $300.

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