All categories

2 years ago

What is 75 divided by 2.5 75/2.5

Mathematics

2 answers:

o-na [289]2 years ago

3 0

Answer:

Step-by-step explanation:

Not much honestly, just divide 75 by 2.5.

Kay [80]2 years ago

3 0

Answer:

Step-by-step explanation:

Change the divisor 2.5 to a whole number by moving the decimal point 1 places to the right. Then move the decimal point in the dividend the same, 1 places to the right.

We then have the equations:

750 ÷ 25 = 30.000

and therefore:

75 ÷ 2.5 = 30.000

Both calculated to 3 decimal places.

You might be interested in

11/2 z + 9/5 = 1.8 + 12z -6.5z=?

storchak [24]

Answer:

Step-by-step explanation:

5 0

2 years ago

Read 2 more answers

What is an equation of the line that passes through the points (0, 0)and (5, 2)?

beks73 [17]

Answer:

5y - 2x = 0

Step-by-step explanation:

Equation of line is given by,

y - y1 = ( x - x1 ) ( y2 - y1)/ (x2 - x1 )

y - 0 = ( x - 0 ) ( 2 - 0 )/ ( 5 - 0 )

y = 2x /5

5y = 2x

5y - 2x = 0

This is the required equation.

8 0

2 years ago

24 x1/3

hodyreva [135]

9514 1404 393

Answer:

Step-by-step explanation:

$24\times\dfrac{1}{3}=\dfrac{24}{3}= \dfrac{3\cdot8}{3}=\dfrac{3}{3}\cdot8 = 1\cdot8 = \boxed{8}$

Multiplying by 1/3 is the same as dividing by 3.

5 0

3 years ago

There are 7 students in cara art club . They need to share 2 rolls of clay equally . Cara wants to know how much clay she will g

Maslowich

It’s 14 bécate as you c a n d e e see deben times two is fourteen or maybe you do 2 7 times and you will get your answer

8 0

2 years ago

Read 2 more answers

A worn, poorly set-up machine is observed to produce components whose length X follows a normal distribution with mean 14 centim

Akimi4 [234]

Answer:

74.86% probability that a component is at least 12 centimeters long.

Step-by-step explanation:

Problems of normally distributed samples are 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:

$\mu = 14$