Interpreting Data and Skewness Practice Flashcards

This set of vocabulary flashcards covers concepts from Interpreting Data and Skewness, including measures of location and spread, data set changes, and identifying types of skewness based on quartiles and means.

Measures of location

Statistics such as the mean, median, or mode that provide information about where the data is located.

Measures of spread

Statistics such as the range, interquartile range, standard deviation, or variance that provide information about how spread out or varied the data is.

Consistency

A characteristic of a data set indicated by a lower value of spread (range, IQR, standard deviation, or variance).

Median and Interquartile Range pairing

The recommended combination of statistics to use when a data set contains outliers or extreme values.

Mean and Standard Deviation/Variance pairing

The recommended combination of statistics to use when the data is roughly symmetrical and does not contain outliers.

Cleaning (data set)

The process of removing a data value that has been found to be an error.

Mean decrease

The outcome of adding a data point below the mean or removing a data point from above the mean.

Mean increase

The outcome of adding a data point above the mean or removing a data point from below the mean.

Skewness

A description of the way in which data in a non-symmetrical distribution is leaning.

Positive skew

A distribution that has its tail on the right side and the median is closer to the lower quartile.

Negative skew

A distribution that has its tail on the left side and the median is closer to the upper quartile.

Positive skew (quartile inequality)

A distribution where the difference between the quartiles follows the relationship Q_3 - Q_2 > Q_2 - Q_1.

Negative skew (quartile inequality)

A distribution where the difference between the quartiles follows the relationship Q_3 - Q_2 < Q_2 - Q_1.

Positive skew (measure comparison)

In this distribution, the values follow the order: ext{Mode} < ext{median} < ext{mean}.

Negative skew (measure comparison)

In this distribution, the values follow the order: ext{Mean} < ext{median} < ext{mode}.