1.
tells you how many of each value or each category there are in the data set.
2.
consists of the minimum, the three quartiles, and the maximum.
3.
a question which can be answered by a specific measurement or procedure where no variability is anticipated
4.
also called measurement or quantitative data, are data where the values are numbers, measurements, or quantities
5.
A data value that is unusual in that it differs quite a bit from the other values in the data set
6.
A distribution where one side of the distribution has more values farther from the bulk of the data than the other side, so that the mean is not equal to the median
7.
A measure of the variability, or spread, of a distribution, calculated by a method similar to the method for calculating the MAD (mean absolute deviation)
8.
A quantity that is calculated from sample data, such as mean, median, or MAD (mean absolute deviation)
9.
a question that can only be answered by using data and where we expect the data to have variability
10.
A distribution with a vertical line of symmetry in the center of the graphical representation, so that the mean is equal to the median
11.
A distribution which has the data values evenly distributed throughout the range of the data
12.
Average. Add up the data points and divide by total number of data points
13.
a statistic that measures the average distance between each data point and the mean of the data set, using the original units of the data. To calculate it, you first find the mean of the data, then find the absolute value of the difference between each da
14.
Middle value. Put data in order from least to greatest to find the middle
15.
Median of the first half of the data
16.
Median of the second half of the data
17.
Q3-Q1. Measures variability in data
