The probability that the total baggage weight exceeds the limit is 0.1056.
The normal distribution is a continuous probability distribution with most values located close to the center peak and is symmetrical around its mean.
For example, Â heights, measurement errors, blood pressure, and IQ scores are normally distributed because the majority of people have these values close to the standard value.
Here, the mean [tex]\mu[/tex] is 22 lbs, the standard deviation [tex]\sigma[/tex] is 4 lbs, and the sample size n is 100.
The total baggage weight of the passengers is represented as [tex]\sum x[/tex].
Then,
[tex]\begin{aligned} P\left(\sum x > 2250\right) &= P\left(\frac{\sum x}{ n} > \frac{2250}{100}\right)\\& = P( \bar{X} > 22.5) \end{aligned}[/tex]
We know, that [tex]z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
So, representing in a normal distribution,
[tex]\begin{aligned}P\left[z > \frac{(22.5 - 22)}{\frac{4}{\sqrt100}}\right] &= P(z > 1.25) \\&= 0.1056\end{aligned}[/tex]
From the z-distribution table, the value for z>1.25 is 0.1056.
Therefore, the answer is 0.1056.
To know more about normal distribution:
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