You roll three die. what is the probability that 5 will not appear on the die?

Mathematics

1 answer:

castortr0y [4]3 years ago

7 0

No of out comes =216
favorable outcome=3
<span>probability that 5 will not appear on the die=3/216</span>

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What does fewer than mean

Art [367]

Answer:

Fewer than means that something is less than another thing. For example, the number 2 is fewer than the number 4. There's also this cool symbol that you can use instead of writing the words 'fewer than'. You could say for example 2<4. A fun way to remember which way the symbol points is to imagine it like an alligator, the number 2 is trying to eat the number 4 to grow!

Step-by-step explanation:

Hope this helps!

7 0

3 years ago

what number should be added to the expression x squared+2x to change it into a perfect square trinomial?

Nookie1986 [14]

You know that a perfect square trinomial is given by square of first term, twice the product of first and last terms and square of second term

So we have x^2 that is square of x, 2x that is twice the product of x*1, the second term shoulf be 1, that is square of 1

So your answer would be 1

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3 years ago

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Shelia's measured glucose level one hour after a sugary drink varies according to the normal distribution with μ = 117 mg/dl and

TiliK225 [7]

Answer:

The level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L is L = 127.1 mg/dl.

Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using 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.

Central limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$