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alexgriva [62]
4 years ago
13

since there are 6 faces on a die there is a 3/6 or 1/2 chance of rolling a die and getting a prime number.

Mathematics
1 answer:
Troyanec [42]4 years ago
8 0
I would say 2/5 chance since 1 is neither prime or composite
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Heights of men on a baseball team have a​ bell-shaped distribution with a mean of 181 cmand a standard deviation of 6 cm.Using t
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Answer:

a) 95.4​% of the men are between 169cm and 193cm

b) 68.2​% of the men are between 175cm and 187cm

Step-by-step explanation:

The empirical rule, also known as three-sigma rule or 68-95-99.7 rule, "is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ)".

Let X the random variable who represent the Heights of men on a baseball team.

From the problem we have the mean and the standard deviation for the random variable X. E(X)=181, Sd(X)=6

So we can assume \mu=181 , \sigma=6

On this case in order to check if the random variable X follows a normal distribution we can use the empirical rule that states the following:

• The probability of obtain values within one deviation from the mean is 0.68 2

• The probability of obtain values within two deviation's from the mean is 0.95 4

• The probability of obtain values within three deviation's from the mean is 0.997

a. 169cm and 193cm

We can find the deviations from the mean using the z score formula given by:

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

IF we find the z score for 169 and 193 we got:

Z=\frac{169-181}{6}=-2

Z=\frac{193-181}{6}=2

Since we are within 2 deviations from the mean and using the empirical rule we have 95.4% of the data

95.4​% of the men are between 169cm and 193cm

b. 175cm and 187cm

We can find the deviations from the mean using the z score formula given by:

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

IF we find the z score for 169 and 193 we got:

Z=\frac{175-181}{6}=-1

Z=\frac{187-181}{6}=1

Since we are within 1 deviations from the mean and using the empirical rule we have 68.2% of the data

68.2​% of the men are between 175cm and 187cm

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