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Data - Frequency Tables and Line Plots. Joseph Williams Modified by Charlotte Stripling. M7D1.b Construct frequency Distributions Objective : Create and interpret frequency tables and line plots. Vocabulary. Data - information, often given in the form of numbers or categories.

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slide1

Data -

Frequency Tables and Line Plots

Joseph Williams

Modified by

Charlotte Stripling

M7D1.b Construct frequency Distributions

Objective: Create and interpret frequency tables and line plots.

vocabulary
Vocabulary

Data - information, often given in the form of numbers or categories.

Frequency Table – a table that displays the number of times each item or category occurs in a data set.

Line Plot – a number line diagram that uses X marks to show the frequencies of items being tallied.

making a frequency table
Making a Frequency Table

Numerical Data: Data consisting of numbers, not categories.

Numerical Questions: How many books have students read last month?

making a line plot
Making a Line Plot

Is a visual of the frequency distribution. Line plots are NOT used for categorical data.

Draw a number line whose scale starts at or before the minimum data value and stops at or after the maximum data value. Use a consistent increment.

completed line plot
Completed Line Plot -

When the items being tallied are numbers, a line plot can be used to visually display numerical data. A line plot uses X marks above a number line to show the frequencies.

The X marks above the number line show the frequencies.

XXXXXX

XXXXX

XXXXX

The Number Line shows the number of books read.

XXXX

XX

1

2

3

4

5

6

7

Number of Books Read

making a frequency table8
Making a Frequency Table

Categorical data: data that can be placed into categories.

Categorical question: What is your favorite color?

NOTE: Categorical data can be shown in a frequency table but not a line plot.

variability in data distributions
Variability in Data Distributions
  • Outliers-Unusually high or low values in a distribution.
  • Clusters-An group of data values with higher frequency than surrounding values.
  • Gaps-Areas in the scale where there is a lack of data values.
analyze the data
Analyze the Data

Now look at the Frequency Tables and the Line Plots from your notes to see if you can identify any outliers, clusters or gaps.