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alexdok [17]
3 years ago
11

A machine fills 64-ounce jugs with detergent. Assume the distribution of the amount of detergent in these jugs is Normal. Under

standard circumstances, the mean amount should be 64 ounces with a standard deviation of 0.4 ounces. A quality control inspector regularly checks the amount poured into the jugs to see if the machine needs an adjustment or not, which is needed when the machine either overflows or underfills the jugs. If the machine is running on target, what proportion of jugs receives more than 65 ounces of detergent
Mathematics
1 answer:
zhuklara [117]3 years ago
6 0

Answer:

The proportion of jugs which receive more than 65 ounces of detergent is 0.0062 or 0.62%

Step-by-step explanation:

Mean amount of detergent = u = 64

Standard deviation = \sigma = 0.4

We need to find the proportion of jugs with over 65 ounces of detergent. Since the population is Normally Distributed and we have the value of population standard deviation, we will use the concept of z-score to solve this problem.

First we will convert 65 to its equivalent z-score, then using the z-table we will desired proportion. The formula to calculate the z-score is:

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

x = 65 converted to z score will be:

z=\frac{65-64}{0.4}=2.5

Therefore, the probability of detergent being more than 65 ounces is equivalent to probability of z-score being over 2.5

i.e.

P(X > 65) = P(z > 2.5)

From the z-table and using the property of symmetry:

P(z > 2.5) = 1 - P(z < 2.5)

= 1 - 0.9938

= 0.0062

Therefore,

P(X > 65) = P(z > 2.5) = 0.0062

So, the proportion of jugs which receive more than 65 ounces of detergent is 0.0062 or 0.62%

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How many cylindrical can of bottles 12 cm high and with 6 cm diameter could be filled from a tank containing 125 liters of deter
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Answer:

368 cans.

Step-by-step explanation:

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So V =  π * 3^2 * 12

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The tank hold 125 liters

=  125,000 cm^3, so:

Number of cans that could be filled = 125000/ 108 π

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The mean number of words per minute (WPM) typed by a speed typist is 149149 with a standard deviation of 1414 WPM. What is the p
Semmy [17]

Answer:

The probability is  P(\=  X  >  x ) = 0.78814

Step-by-step explanation:

From the question we are given that

     The population  mean is  \mu  =  149

     The standard deviation is  \sigma  =  14

     The random number    x  =  147.81

      The sample  size is  n  = 88

The probability that  the sample mean would be greater than P(\=  X  >  x ) =  P( \frac{ \= x   -  \mu   }{\sigma_{\= x} }  > \frac{ x - \mu  }{\sigma_{\= x} }  )

Generally the z- score of this normal distribution is mathematically represented as

       Z  =  \frac{ \=  x   -  \mu  }{\sigma_{\= x} }

Now

        \sigma_{\= x } =  \frac{\sigma }{\sqrt{n} }

substituting values

         \sigma_{\= x } =  \frac{14 }{\sqrt{88} }

         \sigma_{\= x } =  1.492

Which implies that

         P(\=  X  >  x ) =  P( Z  > \frac{ 147.81  - 149   }{ 1.492}  )

        P(\=  X  >  x ) =  P( Z  > -0.80  )

Now from the z-table  the  probability is  found to be

        P(\=  X  >  x ) = 0.78814

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3 years ago
Question 4 (1 point)
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Answer:

x=15

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3(2x+5)=3x+4x

6x+15=3x+4x. *multiplied parentheses by 3*

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15=× * added

x=15

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