Answer:
![P(27.8 < X 27.8)-P(X>30.5)=0.025-0.0015=0.0235](https://tex.z-dn.net/?f=%20P%2827.8%20%3C%20X%20%3C30.5%29%3DP%28X%3E27.8%29-P%28X%3E30.5%29%3D0.025-0.0015%3D0.0235)
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 lifespans of tigers in a particular zoo.
From the problem we have the mean and the standard deviation for the random variable X.
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
• The probability of obtain values within two deviation's from the mean is 0.95
• The probability of obtain values within three deviation's from the mean is 0.997
We want to find this probability:
![P(27.8 < X](https://tex.z-dn.net/?f=%20P%2827.8%20%3C%20X%20%3C30.5%29)
And in order to calculate how many deviation we are above/below the mean we can use the z score given by:
![z =\frac{x-\mu}{\sigma}](https://tex.z-dn.net/?f=z%20%3D%5Cfrac%7Bx-%5Cmu%7D%7B%5Csigma%7D)
And if we use this formula for the two values given we have:
![z_1 = \frac{27.8-22.4}{2.7}=2](https://tex.z-dn.net/?f=%20z_1%20%3D%20%5Cfrac%7B27.8-22.4%7D%7B2.7%7D%3D2)
![z_1 = \frac{30.5-22.4}{2.7}=3](https://tex.z-dn.net/?f=%20z_1%20%3D%20%5Cfrac%7B30.5-22.4%7D%7B2.7%7D%3D3)
So we have values between 2 and 3 deviations above the mean.
We can use the following probabilities
And we can find this probability on this way:
![P(27.8 < X 27.8)-P(X>30.5)=0.025-0.0015=0.0235](https://tex.z-dn.net/?f=%20P%2827.8%20%3C%20X%20%3C30.5%29%3DP%28X%3E27.8%29-P%28X%3E30.5%29%3D0.025-0.0015%3D0.0235)