To answer this question, we can proceed as follows:
1. We have a normal distribution with a mean, μ = 8 ounces, and a standard deviation, σ = 1.2 ounces.
2. We need to determine the value, x, in the distribution for which the cumulative probability is less than 2.5%.
3. To do this, we can use the z-scores, and they are defined as:
[tex]z=\frac{x-\mu}{\sigma}[/tex]
And we already know that:
• μ = 8 ounces
,
• σ = 1.2 ounces
4. If we consult the cumulative standard normal distribution table, we need to find the corresponding value for z for a cumulative probability of 2.5%. Then we have:
[tex]P(z<-1.96)=0.025[/tex]
Therefore, we have the corresponding value of z for a cumulative probability of 2.5% (=2.5/100) is z = -1.96.
5. Now, to find the value of x, we can proceed as follows:
[tex]\begin{gathered} z=\frac{x-\mu}{\sigma} \\ \\ -1.96=\frac{x-8}{1.2} \end{gathered}[/tex]
6. Multiply both sides of the equation by 1.2:
[tex](1.2)(-1.96)=x-8[/tex]
7. And now add 8 to both sides of the equation:
[tex]\begin{gathered} (1.2)(-1.96)+8=x \\ \\ \\ x=(1.2)(-1.96)+8 \\ x=5.648 \end{gathered}[/tex]
If we round the result to the nearest tenth, we have x = 5.6 ounces.
And we can see that in the following graph:
Therefore, according to the graph, 2.5% of adults eat less than 5.6 ounces of chicken in one sitting (second option).