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Nataly_w [17]
2 years ago
15

A safe has a 4-digit lock code that does not include zero as a digit and no digit is repeated. what is the probability that the

lock code consists of all even digits?
Mathematics
1 answer:
Lelu [443]2 years ago
5 0

Probability that the lock code consists of all even digits is 1344 if we choose the 4 digit lock is randomly from numbers 1,2,3,4,5,6,7,8,9

How can we find the probability that the lock code consists of all even digits?

Total numbers are 1,2,3,4,5,6,7,8,9

And we choose 4 digit code

So probability of choosing 4 numbers from 9 numbers without reapitation is

9p_{4} =\frac{9!}{(9-4)!} \\=\frac{9*8*7*6*5!}{5!} \\=3024

For All numbers are even , probability the last digit of number is even.

So we have 4  even number and if we fix one on last digit and can change other 3 then the probability is

4*8P_{3} =4*\frac{8!}{(8-3)!} \\=4*\frac{8*7*6*5!}{5!} \\=1344

So the total probability of code lock having all even number is 1344

Learn more about the probability is here :

brainly.com/question/28048708

#SPJ4

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Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I
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0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

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}}.

Normal probability distribution

Problems of normally distributed samples can be 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.

In this problem, we have that:

\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06

Find the probability of getting a mean temperature of 98.2 degrees F or lower.

This is the pvalue of Z when X = 98.2. So

Z = \frac{X - \mu}{s}

Z = \frac{98.2 - 98.6}{0.06}

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Z = -6.67 has a pvalue of 0.

So there is a 0% probability of getting a mean temperature of 98.2 degrees F or lower.

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