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lys-0071 [83]
4 years ago
12

The manufacturing of a ball bearing is normally distributed with a mean diameter of 22 millimeters and a standard deviation of .

016 millimeters. To be acceptable the diameter needs to be between 21.97 and 22.03 millimeters. a. What is the probability that a randomly selected ball bearing will be acceptable
Mathematics
1 answer:
Misha Larkins [42]4 years ago
6 0

Answer:

0.1507 or 15.07%.

Step-by-step explanation:

We have been given that the manufacturing of a ball bearing is normally distributed with a mean diameter of 22 millimeters and a standard deviation of .016 millimeters. To be acceptable the diameter needs to be between 21.97 and 22.03 millimeters.

First of all, we will find z-scores for data points using z-score formula.

z=\frac{x-\mu}{\sigma}, where,

z = z-score,

x = Sample score,

\mu = Mean,

\sigma = Standard deviation.

z=\frac{21.97-22}{0.016}

z=\frac{-0.03}{0.016}

z=-0.1875

Let us find z-score of data point 22.03.

z=\frac{22.03-22}{0.016}

z=\frac{0.03}{0.016}

z=0.1875

Using probability formula P(a, we will get:

P(-0.1875

P(-0.1875  

P(-0.1875

Therefore, the probability that a randomly selected ball bearing will be acceptable is 0.1507 or 15.07%.

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3 years ago
The perimeter of the rectangle is 2,500 cm. Find the unknown side length. the other side is 750
sineoko [7]

Answer:

<h2>500 cm</h2>

Step-by-step explanation:

Perimeter of a rectangle = 2l + 2w

where

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From the question we have

2500 = 2l + 2(750) \\ 2500 = 2l + 1500 \\ 2l = 2500 - 1500 \\ 2l = 1000 \\  \frac{2l}{2}  =  \frac{1000}{2}  \\ l =  \frac{1000}{2}  \\  l = 500

We have the final answer as

<h3>500 cm</h3>

Hope this helps you

4 0
3 years ago
For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding.
zhannawk [14.2K]

Answer:

a) 0.6032

b)

Lower limit: 0.48

Upper limit: 0.72

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

Question a:

In a random sample of 63 professional actors, it was found that 38 were extroverts.

We use this to find the sample proportion, which is the point estimate for p. So

\pi = \frac{38}{63} = 0.6032

Question b:

Sample of 63 means that n = 63

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

The lower limit of this interval is:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.6032 - 1.96\sqrt{\frac{0.6032*0.3968}{63}} = 0.4824

The upper limit of this interval is:

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.6032 + 1.96\sqrt{\frac{0.6032*0.3968}{63}} = 0.724

Rounding to two decimal places:

Lower limit: 0.48

Upper limit: 0.72

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Explanation:-

Exterior angles of all polygons add up to 360 degrees.
So, x+20+x+40+2x+2x=360
x+x+2x+2x+20+40=360
6x+60=360
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