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3 years ago

What is .00062 as a percent?

Mathematics

2 answers:

ZanzabumX [31]3 years ago

8 0

The answer would be 0.062%

Alex73 [517]3 years ago

3 0

0.0062 is 0.062%
If this helped smash that thanks button

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-13 = 2x +7x -4 help please

Gnoma [55]

Answer:

Just solve for x:

-13 = 9x - 4

9x = -9

x = - 1

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3 years ago

Read 2 more answers

Help algebra word problems a quire of paper consists of 25 sheets, and a ream of paper consists of 500 sheets. how many quires a

Natali5045456 [20]

Good morning from Canada!

What we know:
-quire=25 sheets
-ream=100 sheets

So, we are looking for how many quires can fit into a ream. All we have to do is divide the number of sheets in a ream (100) by the number of sheets in a quire (25) because dividing allows us to see how many times a specific number can go into another number, which is what we are looking for. (How many quires are in a ream).

100/25=4

Therefore 4 quires can fit into a ream.

Hope this helps!

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3 years ago

The Food and Drug Administration (FDA) produces a quarterly report called Total Diet Study. The FDA’s report covers more than 20

pav-90 [236]

Using the normal approximation to the binomial, it is found that:

The mean of X is of 52 samples.
The standard deviation of X is of 4.2661 samples.
0.0017 = 0.17% probability that less than half without any traces of pesticide.

--------------------------------

Binomial probability distribution

Probability of exactly x successes on n repeated trials, with p probability.

Can be approximated to a normal distribution, with mean given by:

$E(X) = np$

And standard deviation of:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Z-score formula is used, which, in a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

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

Each z-score has an associated p-value, which measures the percentile of measure X.

--------------------------------

65% of samples had no pesticide, thus $p = 0.65$
80 samples, thus $n = 80$

The mean of X is of:

$E(X) = np = 0.65(80) = 52$

The standard deviation of X is of:

$\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{80(0.65)(0.35)} = 4.2661$

Using the approximation and continuity correction, the probability is $P(X < 40 - 0.5) = P(X < 39.5)$ , which is the p-value of Z when X = 39.5. Thus: