Chapter 3 Flashcards
(38 cards)
Characteristic or measure obtained by using the data values from a sample
Statistic
Characteristic or measure obtained by using all the data values from a specific population
Parameter
Rounding is the last step
Round to one more decimal point than in original data
General Rounding Rule
The sum of the total X values, divided by the total number of values
Mean
Calculated by using sample data. This is a statistic
Sample Mean
Calculated by using all the values in the population. Population is a parameter
Population Mean
When data is in numeric order
Data Array
Midpoint of the data array. Symbol is MD
Median
The value that occurs most often in a data set
Mode
Data set that only has one value that occurs with the greatest frequency
Unimodal
Data set that has two values that occur with the same greatest frequency
Bimodal
A data set that has more than two values that occur with the same greatest frequency
Multimodal
No data value occurs more than once
No mode
Class with the largest frequency
Modal Class
Extremely low data values or extremely high data values in a data set
Outliers
Rough estimate of the middle. Affected by outliers.
(Defined as the sum of the lowest and highest values in the data set divided by 2)
Midrange (MR)
Mean that considers an additional factor. Used when the values are not all equally represented
Weighted Mean
Majority of the data values fall to the left of the mean and cluster at the lower end of the distribution; tail is to the right.
Mean is to the right of the median, and mode is to the left of the median.
Positively skewed or right-skewed distribution
Data values are evenly distributed on both sides of the mean (when the distribution is unimodal, the mean, median, and mode are the same and at the center of the distribution)
Symmetric Distribution
Majority of the data values fall to the right of the mean and cluster at the upper end of the distribution. Mean is to the left of the median, and mode is to the right of the median.
Negatively skewed or left-skewed
Highest value minus the lowest value
Range (R)
Based on the difference or distance each data value is from the mean
Data Variation
Data variation difference or distance is called
Deviation
Average of the squares of the distance each value is from the mean
Population Variance