a stem and leaf plot
A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
The median would not change, but the mean would increase.
That would provide some evidence that the distribution is symmetric about the mean (or median).
The mean deviation from the median is equal to the mean minus the median.
An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.
A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
A box plot is best for visually representing the mean, median, and mode, as it effectively displays the distribution of data, including its central tendency and variability. The median is clearly indicated by the line inside the box, while the mean can be represented as a separate point. The mode can be illustrated alongside the box plot or noted separately, depending on the data's characteristics. This type of graph allows for a clear comparison of these three statistical measures.
They are values of the variable which may be determined from some graphs.
Like, it shows a stat in a graph or group of things such as: the Median, range, Mode, Max, Min, Mean.
The median of a graph typically refers to the median of a dataset represented by the graph, which is the middle value when the data points are arranged in order. If the number of data points is odd, the median is the middle value; if even, it is the average of the two middle values. In the context of graphical representations, such as histograms or box plots, the median can often be visually identified. It provides a measure of central tendency that is less affected by outliers compared to the mean.
The median would not change, but the mean would increase.
The median.
Unimodal is having a normal disturbution. The mean, median, and mode are all a the center. When looking at a graph, there is one maximum.
A positively skewed or right skewed distribution means that the mean of the data falls to the right of the median. Picturewise, most of the frequency would occur to the left of the graph.
That would provide some evidence that the distribution is symmetric about the mean (or median).
That would provide some evidence that the distribution is symmetric about the mean (or median).
MEAN