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2 years ago

Poin(s) possible

Mathematics

1 answer:

Montano1993 [528]2 years ago

5 0

That’s a lot to answer but I see If I can though I got

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- 16 + ( - 12 ) - ( - 40 )<br>

Alex_Xolod [135]

Answer:

Step-by-step explanation:

Its 12 because when you do -16 + - 40.... then -12 you get =12 There you go

6 0

1 year ago

Read 2 more answers

If you are doing distance do you add or subtract?

zavuch27 [327]

Answer:

it depends on what the question asks

Step-by-step explanation:

7 0

2 years ago

Find the surface area. round to the nearest hundredth when necessary.

Dmitry_Shevchenko [17]

Answer:

The surface area of the cuboid is 648 m^2

Step-by-step explanation:

What we have here is cuboidal in outlook

By using the formula for the surface area of a cuboid, we can get the surface area of the shape

mathematically, we have the surface area of a cuboid as follows;

2(lb + lh + bh)

where l is the length, b is the breadth (width) and h is the height

We can have the length as 9 m, the width as 9 m and the height as 13.5 m

Substituting these values, we have the surface area of the cuboid as;

A = 2(9(9) + 9(13.5) + 9(13.5))

A = 2(81 + 243)

A= 2(324)

A = 648 m^2

8 0

3 years ago

The benefit of these systems is that they might make a driver aware of an object ahead well before the driver could see it using

hichkok12 [17]

What’s the question?

8 0

3 years ago

Read 2 more answers

Every day, Luann walks to the bus stop and the amount of time she will have to wait for the bus is between 0 and 12 minutes, wit

Nana76 [90]

Answer:

a. 341.902.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

n instances of a normal variable:

For n instances of a normal variable, the mean is $n\mu$ and the standard deviation is $s = \sigma\sqrt{n}$