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DerKrebs [107]
2 years ago
13

Someone help please!!!!!​

Mathematics
1 answer:
kumpel [21]2 years ago
5 0

Answer:

Step-by-step explanation:

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How do you find the quotient of 5/2 ÷ 1/4 ?
anastassius [24]
The answer is to what is 5/2 divided by 1/4 is 10
3 0
3 years ago
A carton has a length of 22/3 feet, width of 11/8 feet, and height of 11/5 feet, What is the volume of the carton?​
cupoosta [38]

Length of a carton :

=  \frac{22}{3}  \: feet

Width of the carton :

=  \frac{11}{8}  \: feet

Height of the carton :

=  \frac{11}{5}  \: feet

Volume of the carton :

= Length × Width × Height

=  \frac{22}{3}  \times  \frac{11}{8}  \times  \frac{11}{5}

=   \frac{2622}{120}

\color{hotpink} =  21.85 \: feet

Therefore, the volume of the carton = 21.85 feet.

7 0
3 years ago
What percent of 200 is 230
coldgirl [10]
The percent is 115% if put the numbers into a fraction know when finding a percent you can make the numbers you have already into a fraction so the fraction you have is 230/200 because 200 IS 230 so the number that IS is on top of the infraction  so it 230/200=x/100. there is a x because you don't know what the percent is ,also the total percent you can get is a 100% so the x on top of a hundred so you do cross multiplying so 230 times 100 divided by 200 equals 115
4 0
2 years ago
Simplify 324 please and thanks
olga55 [171]

Answer:

18

Review the factors of 324 to get the square root which is 18

6 0
3 years ago
What is the z-score of a newborn who weighs 4,000 g?.
vagabundo [1.1K]

The z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

<h3>How to get the z scores?</h3>

If we've got a normal distribution, then we can convert it to standard normal distribution and its values will give us the z score.

If we have

X \sim N(\mu, \sigma)

(X is following normal distribution with mean \mu and standard deviation  \sigma)

then it can be converted to standard normal distribution as

Z = \dfrac{X - \mu}{\sigma}, \\\\Z \sim N(0,1)

(Know the fact that in continuous distribution, probability of a single point is 0, so we can write

P(Z \leq z) = P(Z < z) )

Also, know that if we look for Z = z in z tables, the p value we get is

P(Z \leq z) = \rm p \: value

For the considered case, the statement in the problem is missing the mean weight of the newborn and standard deviation of the data set of weights of newborn.

Thus, for them, we can consider variables in place of their actual values.

Let we have:

  • X = weights of newborns for some considered system (in grams)
  • \mu = mean weight of newborns (in grams)
  • \sigma = standard deviation of the data set of weights of newborns

Then, the z-score for X = 4000 is

z = \dfrac{x - \mu}{\sigma} = \dfrac{4000 - \mu}{\sigma}

Thus, the z-score of the considered newborn having 4,000 g weight is \dfrac{4000 - \mu}{\sigma}

Learn more about z-scores here:

brainly.com/question/13299273

3 0
2 years ago
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