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3 years ago

Andrea was asked to find the value of –32 × 9 × 5/4 . How can Andrea make this problem easier to compute?

Mathematics

1 answer:

Volgvan3 years ago

8 0

Answer:

divide the 32 by 4:

then the equation becomes:

8 x 9 x 5 = 360

this is the same as 32 x 9 x 5/4 = 360

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Help??? Which Choice is correct

marusya05 [52]

Answer:

choice B should be right

Step-by-step explanation:

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3 years ago

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An elevator ascends, or goes up, at a rate of 750 feet per minute. Is the height to which the elevator ascends proportional to t

Monica [59]

Answer:

Yes

Step-by-step explanation:

We know this because the proportion can be used to find another answer.

Example:

How many feet did the elevator ascend in 0.25 minutes?

750 x

---------- = ----------

1 0.25

750(0.25) = 1x

187.5 = x

***Sorry about the format. Hope this helps!

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3 years ago

If a baseball player get a hit in 31% of his at-bats, what is the probability that he will

solong [7]

Given:

A baseball player get a hit in 31% of his at-bats.

To find:

The probability that he will get a hit 5 at-bats in a row.

Solution:

Since, a baseball player get a hit in 31% of his at-bats, therefore

Probability that he get a hit = $\dfrac{31}{100}$

= $0.31$

Now, the probability that he will get a hit 5 at-bats in a row is

$P=0.31\times 0.31\times 0.31\times 0.31\times 0.31$

$P=(0.31)^5$

$P=0.0028629151
$

Therefore, the required probability is $(0.31)^5$ and it can be written as 0.0028629151 .

3 0

3 years ago

Determine whether there is a difference between the two data sets that is not apparent from a comparison of the measures of cent

Iteru [2.4K]

Answer:

It seems the question is incomplete as the two data sets implied from the question are not visible.

However, two data sets having identical measures of center have a difference.

Step-by-step explanation:

Let's consider these two data sets:

2, 2, 3, 5, 6, 6 and 1, 1, 1, 1, 1, 19

Both were contrived.

The most reliable among the measures of center is the mean. The mean of each is calculated by summing the data and dividing by the number of elements. In both sets, the mean is 4.

The data in the first set seem to be concentrated around the mean indeed. But for the second data set, one of them, 19, is obviously very far from the others and the mean. We need another measure to describe this: standard deviation.

Its formula is:

$\rho=\sqrt{\dfrac{\sum (x-\overline{x})^2}{n}}$

$x$ represents each data, $\overline{x}$ is the mean and $n$ is the number of items. $x-\overline{x}$ is the deviation from the mean of each data item.