Calculate the mean of the hours of training.
Mean Calculation Formula.
The mean \( \mu \) is calculated using the formula \( \mu = \frac{\sum_{i=1}^N x_i}{N} \). For the hours of training, we have \( \mu = \frac{21}{6} = 3.5 \).
Mean Result.
The mean of the hours of training is \( 3.5 \).
\(\boxed{3.5}\)
Calculate the variance and standard deviation of the hours of training.
Variance Calculation Formula.
The variance \( \sigma^2 \) is calculated using the formula \( \sigma^2 = \frac{\sum (x_i - \mu)^2}{n} \). For the hours of training, the variance is \( 2.92 \).
Standard Deviation Calculation.
The standard deviation is calculated as \( \sqrt{2.92} = 1.71 \).
\(\boxed{2.92}\) and \(\boxed{1.71}\)
Calculate the mean of the order of training.
Mean Calculation Formula.
The mean \( \mu \) is calculated using the formula \( \mu = \frac{\sum_{i=1}^N x_i}{N} \). For the order of training, we have \( \mu = \frac{17}{6} = 2.83 \).
Mean Result.
The mean of the order of training is \( 2.83 \).
\(\boxed{2.83}\)
Calculate the variance and standard deviation of the order of training.
Variance Calculation Formula.
The variance \( \sigma^2 \) is calculated using the formula \( \sigma^2 = \frac{\sum (x_i - \mu)^2}{n} \). For the order of training, the variance is \( 2.47 \).
Standard Deviation Calculation.
The standard deviation is calculated as \( \sqrt{2.47} = 1.57 \).
\(\boxed{2.47}\) and \(\boxed{1.57}\)
The mean of the hours of training is \(\boxed{3.5}\). The variance of the hours of training is \(\boxed{2.92}\) and the standard deviation is \(\boxed{1.71}\). The mean of the order of training is \(\boxed{2.83}\). The variance of the order of training is \(\boxed{2.47}\) and the standard deviation is \(\boxed{1.57}\).