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belka [17]
1 year ago
8

If 50 one-cent coins were stacked on top of

Mathematics
1 answer:
Sedbober [7]1 year ago
7 0

To make 8 inch tall column approximately 61 coins required.

Given,

Total one cent coins stacked on top of each other in a column = 50

Height of column = 378 inches

Approximate height of one coin = ( 50 / 378)

                                                    = 0.132 inches

To make an 8 inches tall stack No of coins required will be:

Number of coins required  = ( total height / height of one coin )

                   = ( 8 / 0.132 )

                   = 60.60

                    ≅ 61 coins

To make 8 inch tall column approximately 61 coins required.

Learn more about coins here: brainly.com/question/11677207

#SPJ4

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vovangra [49]
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24 Minutes total
3 0
2 years ago
A sample of 5 buttons is randomly selected and the following diameters are measured in inches. Give a point estimate for the pop
Helen [10]

Answer:

s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}

But we need to calculate the mean with the following formula:

\bar X = \frac{\sum_{i=1}^n X_I}{n}

And replacing we got:

\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072

And for the sample variance we have:

s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance \sigma^2

E(s^2) = \sigma^2

Step-by-step explanation:

For this case we have the following data:

1.04,1.00,1.13,1.08,1.11

And in order to estimate the population variance we can use the sample variance formula:

s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}

But we need to calculate the mean with the following formula:

\bar X = \frac{\sum_{i=1}^n X_I}{n}

And replacing we got:

\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072

And for the sample variance we have:

s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance \sigma^2

E(s^2) = \sigma^2

3 0
3 years ago
3/4 of a piece of metal has a mass of 15kg.what is the mass of 2/5 of the piece of metal
olga2289 [7]
3/4=15
let,
total mass is x
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Hope this helps!
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3 years ago
What value of x makes this true 1.5x=120?
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I strongly suggest that you use lots of parentheses (   ) to show how your numbers are grouped, and not to use " x " to denote multiplication (use " * " for that, please.    

If only you'll clear this up, I'd be happy to help.

I will assume that your post is   2x^3 - 3(9x-5)^2.

Then 2x^3 - 3(81x - 90x + 25).  Does this have any resemblance to what you wanted me to see in your post?

3 0
3 years ago
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