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babymother [125]
3 years ago
12

How many ways can you arrange 3 marbles from a group of 5 marbles?

Mathematics
1 answer:
USPshnik [31]3 years ago
6 0

Answer:

60 arrangements

Step-by-step explanation:

This is a permutation, since I am assuming that order matters.  To solve this you start at the number of items you have and multiply that by 1 less than the max until number of items are used up.

5P3 = 5 * 4 * 3 = 60

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$42 per person

Step-by-step explanation:

I just did it and got it right.

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3 years ago
Which parametric equations represent y = – |x|? Check all that apply.
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Answer:

The right options are C and E.

Step-by-step explanation:

I got it right on Edge.

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What's 32 to the power of negative 2/5
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32^{-\frac{2}{5}}=\sqrt[5]{32}^{-2}=2^{-2}=(\frac{1}{2})^2=\frac{1}{4}
3 0
3 years ago
What is the mean of 17 20 17 33 22 23
Ad libitum [116K]

Answer:

22

Step-by-step explanation:

Mean basically just means average. To find the mean, add the numbers together and divide them by the number of numbers.

17 + 20 + 17 + 33 + 22 + 23 = 132

After that, divide by 6 since there are 6 numbers

132 ÷ 6 = 22

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Have a good day :)

4 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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