Graphs. Flashcards
Histogram
Relative frequency table. Average is used to explain location
boxplot
Relative frequency table. (Referred to as box and whiskers) Broken into quartile ranges. Interquartile range is the entire box, each end of the box is the upper and quartile ranges with the median in the middle.
dot plot
Simple histogram like chart where data falls into a number of discrete bins. each data point represents 1.
line graph
Line graph is represented by data points on a graph connected together by a line. Used to show change over time.
circle graph
A circle divided into wedges each representing one part of the data.
frequency (graphs)
Histogram or boxplot.
trend
A trend is a pattern in a set of results.
location
Location would be where the mean (Histograms) or median (Boxplot) sits.
shape
Shape is the description of the data on the graph. Skewed Mound Uniform Bimodel
spread (Histogram, Boxplot)
The range of the data. Ask whether most of the data is around the middle?
symmetric (Histogram, Boxplot)
Refers to a set of data where there is a peak in the middle, and data is spread out evenly on both sides.
Skewed (Histogram, boxplot)
Refers to a tail being stretched in one direction. The direction of skewness is the side with the long tail.
peaked (Histogram)
How many peaks in the data.
uniform (Histogram)
Refers to each bin being equal in frequency.
Bimodel (Histogram)
Where there two classes in the data, or two peaks with their own spread.
What three things are talked about when observing a graph.
Location
Spread
Shape
Linear Correlation (Scatterplot)
Where the data plots are close to line set by R2 coefficient of determination.
Negative Correlation (Scatterplot)
Where low values of (x) are associated with high values of (y) ore vice versa.
Positive Correlation (Scatterplot)
Where high values of (x) are associated with low values of (y) and vice versa.
Complementary event.
When 10% of something is defective, and 90% are not, these are the two complementary events as the .9 + .1 add up to 1.
