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lina2011 [118]
3 years ago
8

A manufacturer of a consumer electronics products expects 3% of units to fail during the warranty period. A sample of 500 indepe

ndent units is tracked for warranty performance. (a) What is the probability that none fail during the warranty period? (b) What is the expected number of failures during the warranty period? (c) What is the probability that more than 2 units fail during the warranty period?
Mathematics
1 answer:
erma4kov [3.2K]3 years ago
6 0

Answer: a) 0.0000002, b) 15, c) 0.99996.

Step-by-step explanation:

Since we have given that

n = 500

p = 3% = 0.03

q = 1-0.03 = 0.97

So, we will use "Binomial distribution".

(a) What is the probability that none fail during the warranty period?

P(X=0)=^{500}C_0(0.03)^0(0.97)^{500}=0.0000002

(b) What is the expected number of failures during the warranty period?

E(X)=np=500\times 0.03=15

(c) What is the probability that more than 2 units fail during the warranty period?

P(X>2)=1-\sum _{x=0}^2P(X=x)=0.99996

Hence, a) 0.0000002, b) 15, c) 0.99996.

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beks73 [17]

Answer:

[a]. sample is 25 randomly selected students

    also population is all students

[b]. (20.0, 23.0)

[c]. (8.8, 24.2)

Step-by-step explanation:

here is a step by step process to solving this, i hope you find this helpful.

1). The population is all students who graduated from his school  while the

sample is 25 randomly selected students from the email list

2). given alpha = 1-0.86=0.14

critical z value(two tailed) for 86% confidence level is:

z=normsinv(0.07) or normsinv(0.93)=1.476

Margin of error=1.476*(4.6/SQRT(20))=1.5

86% confidence interval for population mean

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3). if population standard deviation is not known,we will use t distribution.

df=20-1=19

t*=tinv(0.05,19)=2.093

Margin of error=2.093*(5.7/sqrt(20))=2.7

95% confidence interval for population mean

=21.5+/-2.7

=(18.8, 24.2)

cheers i hope this helps!!!!

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Diviseur de 63 et 67
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<span>Diviseur de 63 et 67</span>

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D. 23.1%

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