Stats
Section 2.1 Frequency Distributions and their Graphs
A frequency distribution is a table that shows classes or intervals of data entries with a count of the number of entries in each class. The frequency, f, of a class is the number of data entries in the class.
Example:
Classes Frequency, f
1-5 5
6-10 8
11-15 6
16-20 8
21-15 5
26-30 4
The left column shows the
organization of the data
entries into classes.
The right column shows the
frequency, i.e., the number
of data entries that fall into
that class.
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Why do we use Frequency Distributions?
They can illuminate patterns about the data that are otherwise not obvious.
They allow us to quickly make observations about the data we’ve collected.
They set us up to do some basic mathematical analysis on our data. (We will see more of this later in the chapter.)
Lower class limit: The lower limit of a class is the least number that can belong to that class. That is, it is the lowest data entry that could be in that class.
Upper class limit: The upper limit of a class is the greatest number that can belong to that class—i.e., the largest data entry that could be in that class.
The frequency is the number of values within each group of your sample.
MAKE SURE YOU COUNT THAT FIRST NUMBER WHEN MAKING your table based on class width. Then the number of rows is the number of classes/dividendsRelative frequency is a percent. Were gonna talk about it as decimals, although in the real world you should say a percent
Cumulaive frequency -
Midpoint = Lower class limit + upper class limit/2
lowercase n means sample size - How many r in your sample
Capital N is talking about population
Frequency histogram/histogram. - Graphically representations of the data distribution
The horizontal scale is quantatative, so all your class numbers
the vertical scale is your frequencies
Aug/31
Histogram practice
You can use midpoints or upper and lower limits
Graphing Qualitative Data
A Pareto chart is a kind of bar graph that allows us to display qualitative data. An important component of a Pareto chart is that they present the qualitative categories in order from highest frequency to lowest frequency.
Paired Data Sets
A paired data set consists of two data sets where each data entry in one of the data sets corresponds to a data entry in the other data set. Importantly, a paired data set relates two quantitative variables.
Example:
For instance, if a botanist is interested in studying the length and width of flower petals then they might use a paired data set. For every data entry in the petal length data set, will also have a data entry (corresponding to the same petal) in the petal width data set. Scatter Plots A scatter plot allows us to display paired data sets and illuminates the relationship between the two quantitative variables. Ch 2: Descr