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Levart [38]
3 years ago
10

You roll a number cube you roll a number greater than 3.find probability of each event write it as a decimal

Mathematics
1 answer:
Jobisdone [24]3 years ago
7 0
The chances of rolling any number over three is 0.5
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Which algebraic expression represents the phrase “two times the quantity of a number minus 12”?
Setler79 [48]
2x-12 represents "two times the quantity of a number minus 12"
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3 years ago
Read 2 more answers
382 3/10 - 191 87/100= math difficulties please answer this question
prohojiy [21]
3/10 = .3 and 87/100 = .87
382.3 - 191.87= 190.43
so the answer is 190.43

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7 0
3 years ago
Life Expectancies In a study of the life expectancy of people in a certain geographic region, the mean age at death was years an
Sphinxa [80]

Answer:

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

Step-by-step explanation:

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

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

We have:

Mean \mu, standard deviation \sigma.

Sample of size n:

This means that the z-score is now, by the Central Limit Theorem:

Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

Find the probability that the mean life expectancy will be less than years.

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

8 0
2 years ago
Which number is halfway between 318970 and 719070​
Juliette [100K]

Answer:

it is 519020

Step-by-step explanation:

8 0
3 years ago
Can someone help please
ludmilkaskok [199]

Answer: D

Step-by-step explanation:

An irrational number plus a rational number results in an irrational number.

5 0
1 year ago
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