All categories

3 years ago

-3 5/6+ 7 2/3= solve

Mathematics

1 answer:

SOVA2 [1]3 years ago

6 0

Answer:

49 %=566

Step-by-step explanation:

espero que te ayuder

You might be interested in

A recipe for a cake calls for 6 cups of flour Michelangelo’s has already put in 2 cups how many more cups does she need to put i

il63 [147K]

Ummm...4?

Am I stupid or something, that is a simple subtraction problem right? 6-2=4?

I am so confused, but okay.

Your answer is 4 cups.

4 0

3 years ago

Someone PLease please help me

makvit [3.9K]

Answer is 1 . Righttttttttttttt

4 0

3 years ago

Cyprian was playing football, and on 4 player here is how he did. He lost 8 yards. He gained 15 yards. He gained 7 yards. He los

lord [1]

He lost 8, so he is at -8, he then gains 15 so add 15 to -8"-8 + 15 = 7

He gains 7 so now add 7 to the total: 7+ 7 = 14

He then loses 4, so now subtract 4 from the total: 14 - 4 = 10

Answer: He gained 10 yards.

8 0

2 years ago

Wires manufactured for use in a computer system are specified to have resistances between 0.11 and 0.13 ohms. The actual measure

Marina CMI [18]

Answer:

a) $P(0.11$

And we can find this probability with this difference and with the normal standard table or excel:

$P(-1.11$

b) $P(0.11 < \bar X < 0.13)$

And we can use the z score defined by:

$z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}$

And using the limits we got:

$z = \frac{0.11-0.12}{\frac{0.009}{\sqrt{4}}}= -2.22$

$z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22$

And we want to find this probability:

$P(-2.22< Z$

Step-by-step explanation:

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".

Part a

Let X the random variable that represent the resitances of a population, and for this case we know the distribution for X is given by:

$X \sim N(0.12,0.009)$

Where $\mu=0.12$ and $\sigma=0.009$

We are interested on this probability

$P(0.11$

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

$z=\frac{x-\mu}{\sigma}$

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

$P(0.11$

And we can find this probability with this difference and with the normal standard table or excel:

$P(-1.11$

Part b

We select a sample size of n =4. And since the distribution for X is normal then we know that the distribution for the sample mean $\bar X$ is given by: