Question

Calculate: The standard deviation (σ) of a data set describes how closely the values in the set are bunched together. The standard deviation is listed on the SIMULATION pane.

A. What is the standard deviation of this data set? _____________________
B. Add and subtract the standard deviation (σ) from the mean (μ). μ + σ = ____________ μ – σ = ____________
C. How many values in the set are within one standard deviation of the mean? _______

Answer 1

The standard deviation measures the spread or variability of data. It is calculated by first finding the variance, which is the average of the squares of the deviations. The standard deviation is the square root of the variance.

Step-by-step explanation:

The standard deviation of a data set measures how closely the values in the set are bunched together. It is a measure of the spread or variability of the data. To calculate the standard deviation, we need to first calculate the variance, which is the average of the squares of the deviations. The symbol o² represents the population variance, and the symbol s² represents the sample variance. The standard deviation is the square root of the variance.

In this case, the question asks for the standard deviation of the given data set. To calculate the standard deviation, we need more specific information about the data set. Without the actual data, we cannot provide an exact answer for the standard deviation, nor can we answer parts B and C without the mean and actual values. However, we can explain the general process for calculating the standard deviation and finding values within one standard deviation of the mean.