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sattari [20]
2 years ago
9

A box in a supply room contains 18 compact fluorescent lightbulbs, of which 6 are rated 13-watt, 8 are rated 18-watt, and 4 are

rated 23-watt. suppose that three of these bulbs are randomly selected. (round your answers to three decimal places.)
Mathematics
2 answers:
V125BC [204]2 years ago
6 0

Answer:a) Probability P(exactly 2 bulbs rated 13watts)= 0.22

b) Probability(each bulb different rating)

= 0.24

Step-by-step explanation:

There are 6 13watts bulbs

8 18watts bulbs

4 23watts bulbs

Total bulbs = 18

a) Probability that all 3 bulbs are 18watts

Number of ways of pulling 3 bulbs = 18!/(3!×15!) = (6.4×10^15)/7.846×10^12) = 815 ways

Different ways of pulling 13watts bulbs out of 6 = 6!/(2!×4!)= 720/48=15ways

Different ways of pulling non 13 watts bulbs= 12!/(1!×11!) = 479,001,600/ 39,916,800 = 12

Number of ways total= 15×12=180waya

Therefore P(exactly 2 bulbs rated 13watts)= 180/815 =0.22

b) Probability P( all 3 bulbs are 1 from each rating)

Ways of pulling 3bulbs bulb each from 3 ratings are 4× 5 × 8= 192ways

Probability = 192/815 =0.24

lilavasa [31]2 years ago
5 0

Answer:

a) 0.103

b) 0.098

c) 0.235

d) 0.054

Step-by-step explanation:

Total number of bulbs = 18

Total number of 13-watt bulbs = 6

Total number of 18-watt bulbs = 8

Total number of 23-watt bulbs = 4

Let A represent 13-watt bulbs, B represent 18-watt bulbs and C represent 23-watt bulbs.

a) Probability that exactly two of the bulbs are rated 23-watts with order not important = P(C n C n (AuB)) + P(C n (AuB) n C) + ((AuB) n C n C) = ((4/18) × (3/17) × (14/16)) + ((4/18) × (14/17) × (3/16)) + ((14/18) × (4/17) × (3/16)) = 0.103 to 3d.p

b) Probability that all 3 bulbs have the same rating = P(A n A n A) + P(B n B n B) + P(B n B n B) = (6/18 × 5/17 × 4/16) + (8/18 × 7/17 × 6/16) + (4/18 × 3/17 × 2/16) = 0.0245 + 0.0686 + 0.0049 = 0.098 to 3d.p

c) probability that one bulb of each type is selected = P(A n B n C) + P(A n C n B) + P(B n A n C) + P(B n C n A) + P(C n A n B) + P(C n B n A) = 6(P(A n B n C)) = 6 (6/18 × 8/17 × 4/16) = 6 × 0.0392 = 0.235 to 3dp

d) probability that it is necessary to examine at least 6 bulbs if bulbs are selected one by one until a 23-watt bulb is obtained

To do this, we'll group the 13 and 18 watt bulbs as one, (AuB) = A*. n(A*) = 14

Our probability = P(A* × A* × A* × A* × A* × A* × C) = (14/18 × 13/17 × 12/16 × 11/15 × 10/14 × 9/13 × 4/12) = 0.0539 = 0.054 to 3dp

Hope this helps!

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Step-by-step explanation:

(x-3)^2+(y-8)^2 = 25

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If a square has an area of 225 square feet what is the length of each side
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"For each power, write an equivalent multiplication expression with two factors"
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3 0
2 years ago
At the end of the study, the sociologist had a sample of 500 expectant parents. He estimates that there are 6 million expectant
sertanlavr [38]

If at the end of the study, the sociologist had a sample of 500 expectant parents and he estimates that there are 6 million expectant parents in the United States then the value of n is 500.

Given that the sample size is 500 and the number of expectant parents be 6 million.

We are required to find what n represents and value of n.

The value of n is 500. Small n shows the sample size and capital N shows the size of population.

Sample is that part of the population that represents the characteristics of the whole population.

Population is the number of individuals present in the area which a researcher wants to observe.

Hence if at the end of the study, the sociologist had a sample of 500 expectant parents and he estimates that there are 6 million expectant parents in the United States then the value of n is 500.

Learn more about sample at brainly.com/question/24466382

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6 0
1 year ago
Hi hi. I have a legit question now.
pochemuha

Answer:

A. 25.14%

B. 0.99%

C. 100%

D. 86.07%

Step-by-step explanation:

μ = 52, σ = 3

Each problem gives you an x value and asks you to find a probability.  First calculate the z score(s), then look up in a table or use a calculator.

z = (x − μ) / σ

A. Find P(x < 50)

z = (50 − 52) / 3

z = -0.67

P(z < -0.67) = 0.2514

B. Find P(x > 59)

z = (59 − 52) / 3

z = 2.33

P(z > 2.33) = 1 − 0.9901 = 0.0099

C. Find P(x > 40)

z = (40 − 52) / 3

z = -4

P(z > -4) = 1 − 0 = 1

D. Find P(48 < x < 57)

z₁ = (48 − 52) / 3

z₁ = -1.33

z₂ = (57 − 52) / 3

z₂ = 1.67

P(-1.33 < z < 1.67) = 0.9525 − 0.0918 = 0.8607

I used a z score table.  For more accurate answers, use a calculator.

8 0
2 years ago
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