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What does it mean if a distribution is uniform?
probability distribution
In statistics, uniform distribution refers to a type of probability distribution in which all outcomes are equally likely. A deck of cards has within it uniform distributions because the likelihood of drawing a heart, a club, a diamond, or a spade is equally likely.
What does uniform mean on a graph?
Uniform distribution means that each potential outcome has an equal chance, or probability, of occurring. Graphs of both discrete and continuous uniform distributions are flat and form a rectangle with a top parallel to the x-axis and sides parallel to the y-axis.
What does a scatterplot indicate?
A scatterplot shows the relationship between two quantitative variables measured for the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph.
What do you need to know about scatterplots in statistics?
Statistics – Scatterplots. A scatterplot is a graphical way to display the relationship between two quantitative sample variables. It consists of an X axis, a Y axis and a series of dots where each dot represents one observation from a data set. The position of the dot refers to its X and Y values.
What does each dot on a scatter plot mean?
Each dot represents a single tree; each point’s horizontal position indicates that tree’s diameter (in centimeters) and the vertical position indicates that tree’s height (in meters). From the plot, we can see a generally tight positive correlation between a tree’s diameter and its height.
What does the vertical axis in a scatter plot represent?
A scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. Scatter plots are used to observe relationships between variables.
How to describe form, direction, strength of scatterplot?
Notice that the description mentions the form (linear), the direction (negative), the strength (strong), and the lack of outliers. It also mentions the context of the two variables in question (age of drivers and number of accidents). “There is a strong, positive, linear association between the two variables.”