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9966 [12]
3 years ago
13

Help, Please! There is a Simicircle with a diameter of 36mm, what is the area? Use 3.14 for pi

Mathematics
1 answer:
kondaur [170]3 years ago
4 0

Answer:

28.258mm

Step-by-step explanation:

A semi circle is half of a circle, so we will divide it by 2 after finding the area.

Formula for finding semi circle = pi x radius ÷ 2

Formula for radius = diameter ÷ 2

Radius = 36 ÷ 2 = 18mm

Semi circle = 3.14 or 22/7 x 18 = 56.57

56.57 ÷ 2 = 28.285

Note: I don't have a calculator with me right now, so you might want to consider typing out pi x 18 ÷ 2 on a calculator since my answer might be wrong because the answer has endless decimals.

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3 years ago
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blondinia [14]

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3 years ago
In a process that manufactures bearings, 90% of the bearings meet a thickness specification. A shipment contains 500 bearings. A
vredina [299]

Answer:

c) P(270≤x≤280)=0.572

d) P(x=280)=0.091

Step-by-step explanation:

The population of bearings have a proportion p=0.90 of satisfactory thickness.

The shipments will be treated as random samples, of size n=500, taken out of the population of bearings.

As the sample size is big, we will model the amount of satisfactory bearings per shipment as a normally distributed variable (if the sample was small, a binomial distirbution would be more precise and appropiate).

The mean of this distribution will be:

\mu_s=np=500*0.90=450

The standard deviation will be:

\sigma_s=\sqrt{np(1-p)}=\sqrt{500*0.90*0.10}=\sqrt{45}=6.7

We can calculate the probability that a shipment is acceptable (at least 440 bearings meet the specification) calculating the z-score for X=440 and then the probability of this z-score:

z=(x-\mu_s)/\sigma_s=(440-450)/6.7=-10/6.7=-1.49\\\\P(z>-1.49)=0.932

Now, we have to create a new sampling distribution for the shipments. The size is n=300 and p=0.932.

The mean of this sampling distribution is:

\mu=np=300*0.932=279.6

The standard deviation will be:

\sigma=\sqrt{np(1-p)}=\sqrt{300*0.932*0.068}=\sqrt{19}=4.36

c) The probability that between 270 and 280 out of 300 shipments are acceptable can be calculated with the z-score and using the continuity factor, as this is modeled as a continuos variable:

P(270\leq x\leq280)=P(269.5

d) The probability that 280 out of 300 shipments are acceptable can be calculated using again the continuity factor correction:

P(X=280)=P(279.5

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3 years ago
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