Final answer:
To calculate x₁ and s₁ in region I, use the sample mean and sample standard deviation keys on a calculator. Follow the same steps to calculate x₂ and s₂ in region II using the given data.
Step-by-step explanation:
To calculate x₁ and s₁ in region I, we can use the sample mean and sample standard deviation keys on a calculator. The sample mean (x₁) is the average of the numbers in the data set. To calculate it, we add up all the numbers and divide by the sample size:
x₁ = (2+9+9+9+6+8+8+13+3+3+2+5+1+4+6) / 16 = 82 / 16 = 5.125
The sample standard deviation (s₁) measures the variability of the data set. To calculate it, we can use the formula:
s₁ = sqrt((∑(x - x₁)²) / (n - 1))
where ∑ represents the sum, x represents each individual data point, x₁ is the sample mean, and n is the sample size. Plugging in the values:
s₁ = sqrt((∑(x - 5.125)²) / (16 - 1))
After calculating the sum of the squared differences and dividing by 15, we take the square root to get the final result.
Similarly, to calculate x₂ and s₂ in region II, we follow the same steps using the given data:
x₂ = (2+2+5+2+6+8+5+4+4+2+2+5+6+9) / 15 = 61 / 15 = 4.07
s₂ = sqrt((∑(x - 4.07)²) / (15 - 1))