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kolbaska11 [484]
3 years ago
15

What is the value of 14 – 2 • 3 + 42? someone help me understand

Mathematics
2 answers:
xxMikexx [17]3 years ago
8 0

Based on PEMDAS, in this expression, we need to do multiplication first, which is 2 times 3, which is 6. Now, the expression is 14-6+42. 14-6 is 8, and 8+42 is 50, so the answer is 50.

Hope this helps!

SSSSS [86.1K]3 years ago
3 0

Answer:

\boxed{=50}

Step-by-step explanation:

PEMDAS stands for:

P-Parenthesis

E-Exponents

M-Multiply

D-Divide

A-Add

S-Subtract

First you had to multiply from left to right.

2*3=6

14-6+42

Then you add and subtract from left to right.

14-6=8

8+42=50

50-42=8

42+8=50

Final answer: \boxed{=50}

Hope this helps!

And thank you for posting your question at here on brainly, and have a great day.

-Charlie

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Step-by-step explanation:

Find the Adjacent, Opposite, or Hypotenuse angles to the angles in the picture and fill them into the given fraction.

cos∠ABC = Adjacent/Hypotenuse = 12/15 = 4/5 = 0.80

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Answer:

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And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

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".  

Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(10.5,0.3)  

Where \mu=10.5 and \sigma=0.3

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P(X>10.983)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

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