Course 1 Chapter 11 Statistical Measures Answer Key

Statistical Measures in Data Analysis

Statistical measures are used to summarize and analyze data. They include measures of central tendency (such as mean, median, and mode) and measures of dispersion (such as range, variance, and standard deviation). These measures provide important insights into the data's distribution and variability.

Measures of Central Tendency

Statistical measures like mean, median, and mode help determine the central value or typical value of a dataset. The mean is the average value, the median is the middle value when the data is arranged in order, and the mode is the most frequently occurring value. These measures help understand the overall trend or center of the data.

Measures of Dispersion

On the other hand, measures of dispersion like range, variance, and standard deviation provide information about the spread or variability of the data. The range is the difference between the maximum and minimum values, while variance and standard deviation quantify the average deviation of data points from the mean. These measures help assess how much the data points deviate from the central tendency.

Importance of Statistical Measures

Overall, statistical measures allow us to summarize data concisely and gain insights into its central tendency and variability, aiding in data analysis and decision-making processes.