Given:
32% are yellow
68% are green
number of samples = 49 eggs
The distribution is binomial because we can either have a green or yellow egg.
(a) The mean number of yellow eggs in samples of 49 eggs
The mean can be calculated using the formula:
![\begin{gathered} \operatorname{mean}\text{ = np} \\ \text{where n is the number of samples} \\ p\text{ is the probability of success} \end{gathered}]()
The probability (p) of success is the percentage of yellow eggs which is:
![p\text{ = 0.32}](https://img.qammunity.org/2023/formulas/mathematics/college/w9hrtefv8f5w01jq5qtizlowbzm83syfj3.png)
Substituting to get the mean:
![\begin{gathered} \operatorname{mean}\text{ = }49\text{ }*\text{ 0.32} \\ =\text{ 15.68} \end{gathered}]()
Hence, the mean number of yellow eggs in the sample is 15.68
(b) The variance in the number of yellow eggs in the sample
The variance can be calculated using the formula:
![\text{variance = np(1-p)}](https://img.qammunity.org/2023/formulas/mathematics/college/py2xvysr5fvzilly81e4th19h1dvozu4nu.png)
Substituting we have:
![\begin{gathered} \text{variance = 49 }*\text{ 0.32 }*\text{ (1-0.32)} \\ =\text{ 10.6624} \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/s5pppbhp5nuq334p9dnancgtdfo458c1ka.png)
Hence, the variance in the number of yellow eggs in the sample is 10.6624
(c) The standard deviation in the number of yellow eggs in the sample
Standard deviation can be calculated from the variance using the relationship:
![\begin{gathered} \sigma\text{ = }\sqrt[]{variance} \\ =\text{ }\sqrt[]{10.6624} \\ \approx\text{ 3.2653 (4.d.p)} \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/b5bdf7byt79jspmcpp65rb0hjg5qzug2ui.png)
Hence, the standard deviation in the number of yellow eggs in the sample is 3.2653