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Keith_Richards [23]
3 years ago
15

Which of the following is the solution to √16 * √36 simplified?

Mathematics
2 answers:
irinina [24]3 years ago
7 0

Answer:

c. 24

Step-by-step explanation:

First, simplify all the roots

√16 = √(4 x 4) = 4

√36 = √(6 x 6) = 6

Multiply across

4 x 6 = 24

24 is your answer

~

spayn [35]3 years ago
5 0

Answer:

√16 * √36 = C) 24


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Calculate x Give your answer correct to 1 d.p. Х 35° 15 cm<br> it is a trigonometry question.​
OlgaM077 [116]

Here we are finding x, given the angle and adjacent side. To find x we will use the function cos as cos = a/h.

So let's do cos(35°) = 15cm / x

cos(35°) = 0.8 (1 dp)

x = 15 cm / cos(35°)

x = 18.3 cm (1 dp)

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2 years ago
C=5/9(F−32)
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d

Step-by-step explanation:

5 0
3 years ago
If I have 7 button down shirts, 5 pairs of pants and 3 pairs of shoes that I can wear to work then how many different outfits ca
34kurt

105 different outfits can wear on an individual day

<em><u>Solution:</u></em>

I have 7 button down shirts, 5 pairs of pants and 3 pairs of shoes that I can wear to work

To find: Number of different outfits can I wear on an individual day

First he has to decide on a pair of pants and he has 5 different choices

For each of those choices he has a choice of 7 different button down shirts, so that gives him 5 x 7 = 35 different pant/shirt combinations

For each of those 35 different pant/shirt combinations, he has 3 pairs of shoes he could select, so altogether he has 35 x 3 = 105 different outfits

In short we can say,

different outfits = 7 x 5 x 3 = 105

So there 105 different outfits can wear on an individual day

4 0
3 years ago
Joe used a project management software package and has determined the following results for a given project.: Expected completio
statuscvo [17]

Answer:

0.1151 = 11.51% probability of completing the project over 20 days.

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.

Expected completion time of the project = 22 days.

Variance of project completion time = 2.77

This means that \mu = 22, \sigma = \sqrt{2.77}

What is the probability of completing the project over 20 days?

This is the p-value of Z when X = 20, so:

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

Z = \frac{20 - 22}{\sqrt{2.77}}

Z = -1.2

Z = -1.2 has a p-value of 0.1151.

0.1151 = 11.51% probability of completing the project over 20 days.

4 0
3 years ago
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