5.01 Representing Data
Vocabulary
Statistics β a branch of math that views numbers as...
Mathematics, 21.04.2021 18:50, brackendillman
5.01 Representing Data
Vocabulary
Statistics β a branch of math that views numbers as . It teaches how to use a variety of methods to , and these numbers to make informed decisions.
Data β the that give information about a given topic. The study of is known as .
Statistical Process β a way to , , and data.
The Statistical Process
Step
Process
1
2
3
4
Vocabulary and the Statistical Process
4:40
Examples of Statistical Questions:
Types of Data
Categorical Data β falls into separate or .
Quantitative Data β observations are recorded as or .
2 Types of Quantitative Data:
Continuous Data β fall into a range of .
Discrete Data β measurements are and fall into .
Types of Data
3:02
Examples of Categorical Data:
Examples of Quantitative Data:
Representing Data: Dot Plots
The number of over a tells how many times that number occurs in the data.
Steps to Create a Dot Plot:
Draw a line using an appropriate range (or category).
Place a over the data value for each in the data set.
the horizontal line, and the graph.
Creating a Dot Plot 4:31
Example: Create a dot plot that shows the test scores in Mrs. Smithβs math class.
Representing Data: Histograms
A visual that shows the frequency of intervals of data.
Steps to create a histogram:
the data values into appropriate bin intervals and determine the .
Draw and label a .
Draw and label a .
to a certain height based on the frequency of each bin.
your graph.
Creating Histograms
4:18
Example: A volunteer for the running club counted the number of participants at each race. Create a histogram using the data given.
Representing Data: Box Plots
A visual that divides a list of data into sections called . Each quartile has of the data points in it.
Steps to create a box plot:
Put the numbers in .
Determine the .
Find (also known as lower quartile)
Find (also known as upper quartile)
Draw the box plot and label with the .
Creating a Box Plot
4:41
Example:
Create five-number summary for the data set:
{14, 3, 2, 8, 6, 22, 15, 10, 16, 18}
Minimum:
Lower quartile (Q1):
Median:
Upper quartile (Q3):
Maximum:
Comparing Data Displays
Which graph best shows the median?
Which graph best shows the target age range?
Which graph best shows each individual data value?
Comparing Data Displays
1:57
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