It is important to note the type of distribution of such sampling.
To choose a candy, it can either be 'orange' or 'not orange'.
The sample size of 100 is large enough. Hence, the sampling describes Binomial Distribution.
The mean and standard deviation of a Binomial Distribution, respectively is given as:
![\begin{gathered} \mu=np \\ \sigma=\sqrt[]{np(1-p)}_{} \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/3iv6eh0fq8d2wx46qo6xtjpvu2y3iv5qwo.png)
Where,
0. n= number of trials or samples
,
1. p=probability of success (orange candies)
As given in the sample, n=100, p=10% or 0.1
Substitute into the formula given:

![\sigma=\sqrt[]{100*0.1(1-0.1)}=\sqrt[]{100*0.1*0.9}=\sqrt[]{9}=3](https://img.qammunity.org/2023/formulas/mathematics/college/i33hd5a7x5s1m8vplkhnc87fucywl2it62.png)
Hence, the mean is 10 and the standard deviation is 3.