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uysha [10]
2 years ago
13

PLEASE HELP ILL GIVE BRAINLYIST

Mathematics
1 answer:
Vera_Pavlovna [14]2 years ago
5 0

Answer:

Alright this is complecated but I think you can go on this other math website symbolab there will be a tutor and answer it in 15-30 minuted it helps!

Step-by-step explanation:

You might be interested in
Four less than the square of a number is 0​
marusya05 [52]

Answer:

± 2

Step-by-step explanation:

let the number be n , then

n² - 4 = 0 ( add 4 to both sides )

n² = 4 ( take square root of both sides )

n = ± \sqrt{4} = ± 2

The number is - 2 or 2

5 0
3 years ago
Read 2 more answers
For the function {(0,1), (1,-3), (2,-4), (-4,1)}, write the domain and range.Immersive Reader
Vlad1618 [11]

Answer:

C. D:{0, 1, 2, -4}- R:{1, -3, -4}

Step-by-step explanation:

4 0
3 years ago
a man spends ⅕ of his salary on shoes and ⅔ on school fees. what is the fraction of his salary left. pls help asap​
svet-max [94.6K]

Answer:

2/15

Step-by-step explanation:

1/5 + 2/3

= 3/15 + 10/15

= 13/15

15/15 - 13/15

= 2/15

4 0
2 years ago
Read 2 more answers
A food processor packages orange juice in small jars. The weights of the filled jars are approximately normally distributed with
Ratling [72]

Answer:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(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".  

Solution to the problem

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

X \sim N(10.5,0.3)  

Where \mu=10.5 and \sigma=0.3

We are interested on this probability

P(X>10.983)

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(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

8 0
3 years ago
A bank records deposits as positive numbers and withdrawals as negative numbers. Mike withdrew $60\$60 $60 dollar sign, 60 from
kumpel [21]

Answer:

<ERROR>--------------------------------------------------

Step-by-step explanation:

<ERROR>---------------------

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

-----

--

------

8 0
2 years ago
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