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harina [27]
3 years ago
14

Write 2.06 X 1010 in standard form.​

Mathematics
1 answer:
pav-90 [236]3 years ago
4 0

Answer:

20,600,000,000

Step-by-step explanation:

When writing a number in standard notation from scientific notation, counting decimal places is important. In this case, the exponent of 10 is 10. That means the decimal place must be moved 10 places; since it is positive the decimal place should be moved to the right. Finally, fill any empty spaces when moving the decimal point with zeros.

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Seven more than one half a number as an equation
romanna [79]

Answer:

1/2x+7

Step-by-step explanation:

5 0
3 years ago
Ten plus 6 times a number n is equal to 5 less<br> than the number n.
Gala2k [10]

Answer:

Step-by-step explanation:

10+6n=n-5

6n-n=-5-10

5n=-15

n=-3

7 0
3 years ago
-3x+4=13 SOLVE PLZ! INEQUALITY
arlik [135]
Hi!

What you'll first need to do is subtract 4 from 4 and 13. After doing so, your equation will look like this...

-3x=9

Next, you'll need to divide -3x and 9 by -3. After you've done that, you'll get...

x=-3.

So your answer would be x=-3

I hope this helps!
5 0
3 years ago
Read 2 more answers
Has this ever happened to you ?;)
IgorLugansk [536]
Well they probably are relating to math terms

7 after 8

Or 5 til 8

Or they just show off that they know how to say “5 after 3”
8 0
3 years ago
A distribution of values is normal with a mean of 220 and a standard deviation of 13. From this distribution, you are drawing sa
Paraphin [41]

Answer:

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributied random variable X, with mean \mu and standard deviation \sigma, the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 220, \sigma = 13, n = 35, s = \frac{13}{\sqrt{35}} = 2.1974

Find the interval containing the middle-most 48% of sample means:

50 - 48/2 = 26th percentile to 50 + 48/2 = 74th percentile. So

74th percentile

value of X when Z has a pvalue of 0.74. So X when Z = 0.643.

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

By the Central Limit Theorem

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

0.643 = \frac{X - 220}{2.1974}

X - 220 = 0.643*2.1974

X = 221.41

26th percentile

Value of X when Z has a pvalue of 0.26. So X when Z = -0.643

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

-0.643 = \frac{X - 220}{2.1974}

X - 220 = -0.643*2.1974

X = 218.59

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

5 0
3 years ago
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