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densk [106]
3 years ago
11

What is 25% of 7000000

Mathematics
1 answer:
Virty [35]3 years ago
8 0
25% of 700000 is 1750000
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How do simplify 4(8+2f)+5 using distributive property?
polet [3.4K]
8f+37 is the answer to check:
4 times 8 is 32 + 4 times 2f is 8f..........then 32+8f+5 to 8f + 37 is your answer
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3 years ago
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The sum of a minutes and b seconds, expressed in minutes, is:​
spin [16.1K]

Answer:

(1+b/60) minutes

Step-by-step explanation:

A minute = 1minute

b seconds = b/60minutes =b/60 minutes

sum of a minute and b seconds= (1+ b/60) minutes

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Need help <br> : a^2-7a =0
Sladkaya [172]

Answer:

a = 0 or a = -7

Step-by-step explanation:

We are going to solve this quadratic equation by factorizing.

a² - 7a = 0

a(a - 7) = 0

a = 0 or a - 7 = 0

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A rectangle is 32m by 8m is similar to a rectangle 4m by x m.
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x = 1

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x/4 = 8/32

x = 1

Best Regards!

5 0
3 years ago
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For a standardized psychology examination intended for psychology majors, the historical data show that scores have a mean of 50
Volgvan

Answer:

P(\bar X>530)=1-0.808=0.192

Step-by-step explanation:

1) 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".  

Let X the random variable that represent the scores, and for this case we know the distribution for X is given by:

X \sim N(\mu=505,\sigma=170)  

And let \bar X represent the sample mean, the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

On this case  \bar X \sim N(505,\frac{170}{\sqrt{35}})

2) Calculate the probability

We want this probability:

P(\bar X>530)=1-P(\bar X

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

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

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

P(\bar X >530)=1-P(Z

P(\bar X>530)=1-0.808=0.192

3 0
3 years ago
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