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xxMikexx [17]
4 years ago
14

A person is purchasing a new golf club bag. The compartment for the golf balls is approximately the shape of a rectangular prism

with the dimensions of 8 inches by 11 inches by 5 inches. Assuming golf balls are spherical with a 1.68 inch diameter, how many golf balls should fit in the compartment bag?
Mathematics
1 answer:
Akimi4 [234]4 years ago
5 0

Answer:

The answer to your question is: 161 balls

Step-by-step explanation:

Data

rectangular prism = 8 in x 11 in x 5 in

diameter golf balls = 1.68 in     radius = 1.68/ 2 = 0.84 in

Formula

Volume rectangular prism = l x w x h

Volume sphere = (4/3)π r³

Process

Volume rectangular prism = 8 x 11 x 5 = 400 in³

Volume balls = (4/3) (3.1416) (0.84)³ = 2.48

# of balls in the compartment = volumen rectangular prism / volume balls

# of balls in the compartment = 400 / 2.48 = 161. 29

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A machine fills containers with a particular product. Assume the filling weights are normally distributed with a variance of 0.1
Ghella [55]

Answer:

z=-0.674

And if we solve for \mu we got

\mu=12 +0.674*0.4=12.270

So then the mean is 'mu = 12.270 for this case.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,\sqrt{0.16}= 0.4)  

For this part we want to find a value a, such that we satisfy this condition:

P(X>12)=0.85   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.25 of the area on the left and 0.85 of the area on the right it's z=-0.674. On this case P(Z<-0.674)=0.25 and P(z>-0.674)=0.85

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=-0.674

And if we solve for \mu we got

\mu=12 +0.674*0.4=12.270

So then the mean is 'mu = 12.270 for this case.

8 0
3 years ago
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azamat

Answer:

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Step-by-step explanation:

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Answer:

Hi there!

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Step-by-step explanation:

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