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3 years ago

Convert 125% into a decimal.

Mathematics

2 answers:

dalvyx [7]3 years ago

7 0

Answer:

1.25

Step-by-step explanation:

it is what it is

devlian [24]3 years ago

6 0

1.25
Converted by dividing 125/100, or moving the decimal over two places.

You might be interested in

Which of the following is less than 527 m?

Andru [333]

1m = 100cm = 1000mm = 1,000,000,000nm
1Mm = 1,000,000m

A. 0.000699 Mm = 0.000699 · 1,000,000 m = 699 m

B. 914,879,710 nm = (914,879,710 : 1,000,000,000) m = 0.914879710 m

C. 51,723 cm = (51,723 : 100) m = 517.23 m

Answer: C. 51,723 cm = 517.23 m ≈ 527 m

8 0

3 years ago

O2) Work out 30% of £5.80.

Serga [27]

Answer:

1.74

Step-by-step explanation:

Multiply 5.80 times .30

7 0

3 years ago

Read 2 more answers

A statistics practitioner determined that the mean and stan-dard deviation of a data set were 90 and 15, respectively. What can

jasenka [17]

Answer:

If the distribution is bell shaped we can approximate the probability with high accuracy using the z score formula.

a) $P(75$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(75$

b) $P(60$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(60$

c) $P(45$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(45$

If the distribution is NOT bell shaped the approximation with the z score NOT works and we need to have the distribution for X in order to find the probabilities.

Step-by-step explanation:

Previous concepts

If the distribution is bell shaped we can approximate the probability with high accuracy using the z score formula.

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".

Part a

Let X the random variable of interest

We assume for this case that $\mu=90$ and $\sigma=15$

We are interested on this probability

$P(75$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(75$

Part b

$P(60$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(60$

Part c

$P(45$

And for this case we can use the z score given by:

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

And if we use it we got:

$P(45$

If the distribution is NOT bell shaped the approximation with the z score NOT works and we need to have the distribution for X in order to find the probabilities.

5 0

4 years ago

Can someone please help me?

Bingel [31]

So the right answer is 29.

Look at the attached picture

Hope it will help you....

Good luck on your assignment

~pragya