Search
- Filter Results
- Location
- Classification
- Include attachments
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/03%3A_Summarizing_Distributions/3.12%3A_Measures_of_VariabilityUsing the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful m...Using the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful measure of variability when the distribution is normal or approximately normal (see Chapter on Normal Distributions) because the proportion of the distribution within a given number of standard deviations from the mean can be calculated.
- https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/05%3A_Summarizing_Data_With_Numbers/5.09%3A_Measures_of_VariabilityUsing the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful m...Using the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful measure of variability when the distribution is normal or approximately normal (see Chapter on Normal Distributions) because the proportion of the distribution within a given number of standard deviations from the mean can be calculated.
- https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/03%3A_Summarizing_Distributions/3.12%3A_Measures_of_VariabilityUsing the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful m...Using the mean as the measure of the middle of the distribution, the variance is defined as the average squared difference of the scores from the mean. The standard deviation is an especially useful measure of variability when the distribution is normal or approximately normal (see Chapter on Normal Distributions) because the proportion of the distribution within a given number of standard deviations from the mean can be calculated.
