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Hitman42 [59]
3 years ago
9

Evaluate: 16÷(2+12)2 A. 2 14/25 B. 4 1/4 C. 6 2/5 D. 8 1/4

Mathematics
1 answer:
Sauron [17]3 years ago
6 0

The result of the given expression in simplest form is \frac{4}{7}.

The given parameters:

16÷(2+12)2

The given expression can be evaluated in the following order as shown below;

<em>add </em><em>the numbers in the </em><em>bracket</em><em>;</em>

2 + 12 = 14

<em>multiply </em><em>the numbers in the </em><em>bracket </em><em>by 2;</em>

14 x 2 = 28

<em>divide </em><em>the 16 by your result after the </em><em>multiplication</em><em>;</em>

= \frac{16}{28} \\\\

<em>divide the </em><em>numerator </em><em>and </em><em>denominator </em><em>by their common factor which is 4;</em>

\frac{16}{(2+ 12) 2} = \frac{16}{28} = \frac{4}{7}

Thus, the result of the given expression in simplest form is \frac{4}{7}.

Learn more about simplification of algebra here: brainly.com/question/432678

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Answer:

The answer would be 5/5 or 1

Step-by-step explanation:

since they have the same denominator the its pretty simple add the numerators(the top numbers) together to get 5/5 or 1 whole.

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What is the measure of angle DFG​
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26

Step-by-step explanation:

24+130=154

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3 years ago
From each of two normal populations with identical means and with standard deviations of 6.40 and 7.20, independent random sampl
LiRa [457]

Answer: 0.31207

Step-by-step explanation: from the question, the distribution follows a normal distribution and population mean of both data set are equal.

I will also assume a 5% level of significance since any level of significance was not given in the question.

Population standard deviation of the first population (σ1) = 6.40

Population variance of the first population (σ1)² = 40.96

Population standard deviation of the second population (σ2) = 7.20

Population variance of the second population (σ2)² = 51.84

Sample size of first population (n1) = 64

Sample size of second population (n2) = 64

Difference between sample mean (x1 - x2) = 0.6.

Since population standard deviation is known, z test is used in getting the z score and a normal distribution table is used in getting the probability attached to the z score.

Z = (x1 - x2) /√{(σ1)²/n1 + (σ2)²/n2}

By substituting parameters, we have

Z = 0.6/√(40.96/64) + (51.84/64)

Z = 0.6/ √0.64 + 0.81

Z = 0.6/√1.45

Z = 0.6/1.2041

Z = 0.49

Since our difference in sample mean is greater than zero, it means that the probability of the z score (z=0.49) must be that of the one greater than 0.49 which is area towards the right of the distribution.

Do note that the probability value under z score to the left + probability value under z score to the right = 1

The table I'm using here is only giving probability of z scores toward the left (z<0.49)

Hence z>0.49 = 1 - z<0.49

From the table, z<0.49 = 0.68793

z>0.49 = 1 - 0.68793

z>0.49 = 0.31207

6 0
3 years ago
The sum of two numbers is 65. One number is 4 times as large as the other. What are the numbers?
Cloud [144]

Answer:

Large number =52

small number =13

Step-by-step explanation:

4x + x =65

5x=65

x=13

4x=52

7 0
3 years ago
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