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Lynna [10]
2 years ago
9

CAN U PLEASE DRAW ON IT LIKE SAVE IT AND DRAW ON IT PLEASE

Mathematics
1 answer:
fiasKO [112]2 years ago
5 0

Answer:

Umm here BUT DONT JUDGE I HAD TO DO THIS ON MICROSOFT PAINT WITH A MOUSE AND IT WAS NOT FUN slope= 3/4

Step-by-step explanation:

ok if this is wrong sry :C

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The sum of twelve and four times a number is 36. What is the number?
Greeley [361]

Answer:

8

Step-by-step explanation:

12 +4x = 36

Then solve the linear eqn

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3 years ago
Angle y is 36 degree.what is angle x
Pavel [41]

Answer:

do u have a picture or smth? there is not enough info

5 0
3 years ago
Can anyone help me with this please ?
zlopas [31]
   
\displaystyle \bf\\
 \frac{x}{20} =  \frac{14}{25}  \\  \\  \\ 
x =  \frac{14 \cdot 20}{25} =  \frac{280}{25} = 11,2 \sim \boxed{10} ~~\text{(rounded to the nearest tenth)}



7 0
3 years ago
Five less than 6 times a number plus seven
a_sh-v [17]

Answer:

6n-5+7

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4 0
3 years ago
Read 2 more answers
An aptitude test has a mean score of 80 and a standard deviation of 5. The population of scores is normally distributed. What pr
konstantin123 [22]

Answer:

2.28% of tests has scores over 90.

Step-by-step explanation:

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.

In this problem, we have that:

\mu = 80, \sigma = 5

What proportion of tests has scores over 90?

This proportion is 1 subtracted by the pvalue of Z when X = 90. So

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

Z = \frac{90 - 80}{5}

Z = 2

Z = 2 has a pvalue of 0.9772.

So 1-0.9772 = 0.0228 = 2.28% of tests has scores over 90.

8 0
3 years ago
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