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2 years ago

Look at the pictuse below i would copy and paste but I can't copy a picture

Mathematics

2 answers:

Dominik [7]2 years ago

7 0

The constant of proportionality is 15 books per shelf.

If you look at the graph, you can see that for every 1 shelf, there are 15 books. For 1 shelf, there are 15 books, and for 2 shelves, there are 30. And the pattern continues.

Let me know if you have any questions, thanks!

Ivan2 years ago

5 0

Answer:

Step-by-step explanation:

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What is the probability of randomly selecting a month pf year and not getting a month that ends in y?

Umnica [9.8K]

Answer:

2/3

Step-by-step explanation:

The months whose names end in 'y' include Jan, Feb, May, Jul. The probability of randomly selecting a month whose name ends in 'y' is 4/12 (remember that there are 12 months in a year), or 1/3.

Thus, the probability of selecting a month whose name does NOT end in 'y' is 8/12, or 2/3. Note that this event is the 'complement' of the first event:

P(name does not end in 'y') = 1 - P(name does not end in 'y') = 1 - 1/3 = 2/3

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2 years ago

2x – 4 = 6 The answer is 10, but I just need a step by step explanation for this

vazorg [7]

Answer:

x=5

Step-by-step explanation:

2x – 4 = 6

Add 4 to each side

2x – 4 +4= 6+4

2x = 10

Divide each side by 2

2x/2 = 10/2

x = 5

6 0

3 years ago

Read 2 more answers

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Andrei [34K]

Answer:

...

Step-by-step explanation:

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2 years ago

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densk [106]

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2 years ago

Assume that the random variable X is normally distributed, with mean 60 and standard deviation 16. Compute the probability P(X &

elixir [45]

Answer:

P(X < 80) = 0.89435.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 60, \sigma = 16$

P(X < 80)

This is the pvalue of Z when X = 80. So

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

$Z = \frac{80 - 60}{16}$

$Z = 1.25$

$Z = 1.25$ has a pvalue of 0.89435.

P(X < 80) = 0.89435.

5 0

2 years ago