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Data consisting of phenotype codes of 25 peas are given where 1 denotes smooth-yellow peas, 2 denotes smooth-green peas, 3 denotes wrinkled-yellow peas, and 4 denotes wrinkled-green peas.

The number of values (n) is 25.

Three types of measures of variation are given as follows:

The range$\left(s^2\right)$is calculated by evaluating the difference between the highest and the lowest values .

The variancefor a sample of sizen is computed by squaring the difference between each observation of the data set and the mean, adding up all the squared terms, and then dividing by $n-1$.

The standard deviation$\left(s\right)$ is simply the value obtained by taking the square root of the variance.

The range is calculated as

$$\begin{gathered} \text{Range}=\text{Maximum}\text{Value}-\text{Minimum}\text{Value} \\ =4-1 \\ =3.0 \end{gathered}$$

Therefore, the range is obtained as 3.0.

The mathematical expression used to calculate sample variance is

$s^2=\frac{{鈭�}_{i=1}^n{\left(x_i-\stackrel{炉}{x}\right)}^2}{n-1}$

.

Here,

x represents the sample values, and

$\stackrel{炉}{x}$is the sample mean.

The sample mean is calculated as

$$\begin{gathered} \stackrel{炉}{x}=\frac{{鈭�}_{1=1}^n{x}_i}{n} \\ =\frac{2+1+1+...+2}{25} \\ =\frac{47}{25} \\ 鈮�1.9 \end{gathered}$$

.

Thus, the sample mean is 1.9.

The variance of the sample is calculated as

$$\begin{gathered} s^2=\frac{{鈭�}_{i=1}^n{\left(x_i-\stackrel{炉}{x}\right)}^2}{n-1} \\ =\frac{{\left(2-1.9\right)}^2+{\left(1-1.9\right)}^2+...+{\left(2-1.9\right)}^2}{25-1} \\ =\frac{20.65}{24} \\ 鈮�0.9 \end{gathered}$$

.

Therefore, the sample variance is obtained as 0.9.

The sample standard deviation is calculated as

$$\begin{gathered} s=\sqrt{s^2} \\ =\sqrt{0.9} \\ 鈮�0.9 \end{gathered}$$

Therefore, the sample standard deviation is obtained as 0.9.

Here, the sample has nominal data where values 1,2,3, and4 are used only to code different categories of peas. As it is known that no numerical calculation performed on categorical data has any significance, the measures of variation do not make any sense.