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Andrei [34K]
3 years ago
7

Y- 4/5=1 what does y equal to?

Mathematics
2 answers:
navik [9.2K]3 years ago
6 0

Answer:

y=1.8

Step-by-step explanation:

first change the fraction into a decimal.

4/5 =0.8

plus the 0.8 to both sides

y=1.8

Vaselesa [24]3 years ago
5 0

Answer:

y  -  \frac{4}{5} +  \frac{4}{5}  = 1 +  \frac{4}{5}  \\ y =  \frac{5 + 4}{5 }  \\ y =  \frac{9}{5}

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1. Nicole usually scores between 89%
REY [17]

Answer:

The Answer is: B. 79% and 89%

Step-by-step explanation:

Subtract 11% from 89 and 100 to get the range:

89 - (89*.11) =

89 - 9.79 = 79.21

100 - (100*.11) =

100 - 11 = 89

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3 years ago
Is 2 squared + 3 squared = 4 squared a true statement? Explain.
kramer

Answer:

It is not true it is false.

Step-by-step explanation:

since 2^2+3^2=4^2

4+9=16

13≠16

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Evaluate the expression for a^2 + b ÷3 when a = 3 and b = 6
Flura [38]

Answer:

11

Step-by-step explanation:

3^2 + 6/3

9 + 2

11

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3 years ago
¿Para que sirven los números primos?
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3 years ago
The shape of the distribution of the time required to get an oil change at a 20 minute oil change facility. However, records ind
Katyanochek1 [597]

Answer:

For a mean oil change time of 20.51 minutes there would be a​ 10% chance of being at or​ below

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 distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 21.3, \sigma = 3.9, n = 40, s = \frac{3.9}{\sqrt{40}} = 0.6166

Treating this as a random​ sample, at what mean​ oil-change time would there be a​ 10% chance of being at or​ below?

This is the 10th percentile, which is X when Z has a pvalue of 0.1. So it is X when Z = -1.28.

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

By the Central Limit Theorem

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

-1.28 = \frac{X - 21.3}{0.6166}

X - 21.3 = -1.28*0.6166

X = 20.51

For a mean oil change time of 20.51 minutes there would be a​ 10% chance of being at or​ below

6 0
3 years ago
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