Univariate.
It is the set of values that a variable can take together with the probability or frequency distribution for those values.
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
one set of data values increases as the other decreases
Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:The minimum valueThe lower quartile (the value of the variable that is greater than a quarter of the observations)The median (the value of the variable that is greater than half the observations)The upper quartile (the value of the variable that is greater than three quarters of the observations)The maximum value.(In slightly refined versions, outliers are separately identified).The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:The minimum valueThe lower quartile (the value of the variable that is greater than a quarter of the observations)The median (the value of the variable that is greater than half the observations)The upper quartile (the value of the variable that is greater than three quarters of the observations)The maximum value.(In slightly refined versions, outliers are separately identified).The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:The minimum valueThe lower quartile (the value of the variable that is greater than a quarter of the observations)The median (the value of the variable that is greater than half the observations)The upper quartile (the value of the variable that is greater than three quarters of the observations)The maximum value.(In slightly refined versions, outliers are separately identified).The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.Box [and whisker] plots show 5 key statistics of a set of numerical data. It is of no use for qualitative data. From the smallest to the largest, the statistics plotted are:The minimum valueThe lower quartile (the value of the variable that is greater than a quarter of the observations)The median (the value of the variable that is greater than half the observations)The upper quartile (the value of the variable that is greater than three quarters of the observations)The maximum value.(In slightly refined versions, outliers are separately identified).The median is a measure of central tendency (average value). The difference between the quartiles is a measure of dispersion or spread around the average. The relative values of the five indicate whether or not the data set is skewed.
D
Univariate.
A discrete variable.
The observed values of a variable form the data set. Not sure where "element" fits into it.
Bivariate
35 occurs most often in the collated data set.
An experiment usually involves a set of steps involving one variable. This is what is being tested. A control involves the same steps without the one variable. The results are checked against each other to see if the variable had any effect.
An experiment usually involves a set of steps involving one variable. This is what is being tested. A control involves the same steps without the one variable. The results are checked against each other to see if the variable had any effect.
An experiment usually involves a set of steps involving one variable. This is what is being tested. A control involves the same steps without the one variable. The results are checked against each other to see if the variable had any effect.
The y-Variable
Discrete data are observations on a variable that which take values from a discrete set.
An experiment usually involves a set of steps involving one variable. This is what is being tested. A control involves the same steps without the one variable. The results are checked against each other to see if the variable had any effect.