| A | B |
|---|
| statistic | is a characteristic or measure obtained by using the data values from a sample |
| parameter | is a characteristic or measure obtained by using all the data values from a specific population |
| mean | is the sum of the values, divided by the total number of values. |
| modal class | is the class with the largest frequency. |
| midrange | is found by adding the lowest and highest values in the data set and dividing by 2 |
| multimodal | is a data set has more than two values that occur with the same greatest frequency |
| data array | is when the data set is ordered. |
| mode | is the value that occurs most often in a data set. |
| unimodal | is a data set that has only one value that occurs with the greatest frequency. |
| bimodal | is a data set that has values that occur with the same greatest frequency. |
| positively skewed or right-skewed distribution | is the majority of the data values fall to the left of the mean and cluster at the lower end of the distribution; the “tail” is to the right. |
| symmetric distribution | is the data values that are evenly distributed on both sides of the mean. |
| negatively skewed or left-skewed distribution | is when the majority of the data values falls to the right of the mean and cluster at the upper end of the distribution, with the tail to the left. |
| boxplot | is a convenient way of depicting groups of numerical data through five-number summaries |
| decile | is any of the nine values that divide the sorted data into ten equal parts, so that each part represents 1/10 of the sample or population. |
| Chebyshev’s theorem | is the proportion of values from a data set that will fail within k standard deviations of the mean will be at least 1 – 1/k2, where k is a number greater than 1 (k is not necessarily an integer) |
| range rule of thumb | is that the difference of the largest and smallest value will be about 4 standard deviations |
| exploratory data analysis | data can be organized using a stem and leaf plot |
| five-number summary | consists of the upper and lower extremes, the median, and the upper and lower quartile. |
| interquartile range (IQR) | is a measure of statistical dispersion, being equal to the difference between the third and first quartiles |
| quartile | is any of the three values which divide the sorted data set into four equal parts. |
| Standard score (Z score) | is the standard score indicates how many standard deviations an observation or datum is above or below the mean |
| weighted mean | is the type of mean that considers an additional factor that is used when the values are not equally represented |
| Outliers | are extremely high or extremely low data value in a data set that may have a striking effect on the mean of the data set. |
| Percentiles | divide the data set into 100 equal groups. |
| coefficient of variation (CVar) | is the standard deviation divided by the mean |
| range variance | distance between highest value and lowest value average of the squares of the distance that each value is form the mean. |
| standard deviation | is the square root of the variance |
| variance | is the average of the squares of the distance each value is from the mean. |
| range | is the highest value minus the lowest value. |
| Median | is the midpoint of the data array |
| RVC | rockdale virtual campus |
