How much shorter is a 7 foot 3 inch long board than a 13 foot long board?

Mathematics

2 answers:

rodikova [14]4 years ago

7 0

Answer:

5 foot and 7 inches longer.

Step-by-step explanation:

13 - 7.3 = 5.7

AnnZ [28]4 years ago

6 0

Answer:

It would be 5 foot 9 inches shorter.

Step-by-step explanation:

You need to subtract 7 foot 3 inches from 13 feet. To make this simpler, you can turn the feet into inches. So multiply the 7 be 12, and add 3. 87 inches. Now you need to turn the 13 feet into inches, so multiply the 13 by 12 (because there is 12 inches in 1 foot) That gives you 156. Now subtract,

156-87.

This gives you 69 inches. All you need to do know is convert that into feet. And that gives you 5 feet and 9 inches. So, the board is 5 feet and 9 inches shorter that the long board.

And to check this, you can simply add 5 feet 9 inches to 7 feet 3 inches. Which gives you 13 feet in total.

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wolverine [178]

Answer:

Approximately 3.5 feet - Option B

Step-by-step explanation:

Imagine that you have this walkway around the garden, with dimensions 30 by 20 feet. This walkway has a difference of x feet between it's length, and say the dimension 30 feet. In fact it has a difference of x along both dimensions - on either ends. Therefore, the increases length and width should be 30 + 2x, and 20 + 2x, which is with respect to an increases area of 1,000 square feet.

( 30 + 2x ) $*$ ( 20 + 2x ) = 1000 - Expand "( 30 + 2x ) $*$ ( 20 + 2x )"

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$x=\frac{-100-\sqrt{100^2-4\cdot \:4\left(-400\right)}}{2\cdot \:4}:\quad -\frac{5\left(5+\sqrt{41}\right)}{2}$

There can't be a negative width of the walkway, hence our solution should be ( in exact terms ) $\frac{5\left(\sqrt{41}-5\right)}{2}$ . The approximated value however is 3.5081...or approximately 3.5 feet.

4 0

3 years ago

The output from a statistical computer program indicates that the mean and standard deviation of a data set consisting of 200 me

lesya [120]

Answer:

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Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 1500, \sigma = 300$