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nikklg [1K]
3 years ago
12

A manufacturing firm just received a shipment of 20 assembly parts, of slightly varied sizes, from a vendor. The manager knows t

hat there are only 15 parts in the shipment that would be suitable. He examines these parts one at a time. a. Find the probability that the first part is suitable. (Round your answer to 2 decimal places.) Probability b. If the first part is suitable, find the probability that the second part is also suitable. (Round your answer to 4 decimal places.) Probability c. If the first part is suitable, find the probability that the second part is not suitable. (Round your answer to 4 decimal places.) Probability
Mathematics
1 answer:
Marat540 [252]3 years ago
4 0

Answer:

a. 0.75

b. 0.5526

c.  0.1974

Step-by-step explanation:

Probability is typically expressed as a fraction where the numerator is the number of desired outcomes and the denominator is the total number of outcomes. In this case the suitable parts is the desired outcome and the total shipment is the total parts:

\frac{suitable}{total}=\frac{15}{20}=\frac{3}{4}=0.75

The probability the both the first and second part are suitable:

\frac{15}{20}*\frac{14}{19}=\frac{210}{380}=0.5526

Since the probability of getting a suitable part the first time is 15/20, then there is one less suitable part and one less part overall to choose on the second time, or 14/19.

Lastly, the probability of choosing a suitable part the first time is again 15/20, but the second part not being suitable would be 5/19:

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Answer:

Step-by-step explanation:

Given that :

population Mean = 15000

standard deviation= 1200

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The null and the alternative hypothesis can be computed as follows:

\mathtt{H_o : \mu = 15000 }\\ \\ \mathtt{H_1 : \mu >  15000}

Using the standard normal z statistics

z = \dfrac{\overline X - \mu}{\dfrac{\sigma }{\sqrt{n}}}

z = \dfrac{16000 -15000}{\dfrac{1200 }{\sqrt{100}}}

z = \dfrac{1000}{\dfrac{1200 }{10}}

z = \dfrac{1000\times 10}{1200}

z = 8.333

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level of significance ∝ = 0.05

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Decision Rule: since the p value is lesser than the level of significance, we reject the null hypothesis

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3 years ago
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Free_Kalibri [48]

Answer:

Step-by-step explanation:

SOHCAHTOA

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GenaCL600 [577]

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