Objective:     Students will be able to identify the different types of graphs.  Discuss the reason each graph is important. Create their own graphs.

Students will summarize numeric data with numerical summaries, including the mean and median (measures of center) and the range and interquartile range (IQR) (measure of spread), and these summaries to describe the center, spread, and shape of the data distribution.

Introduction:

Statistics/Data Analysis Lesson Plan

Standards:

TEKS 6.12 A, TEKS 6.12 B, TEKS 6.12 C, TEKS 6.12 D

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Anchor Chart

Word Wall:

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🔗>>Unit 9 Review (Statistics)<<🔗 

Guided Practice

I DO… (You Watch)

 

WE DO…(Together)

• Bar Graph W1
• Dot Plots W1
• Charts in Statistics W1
• Mean Median Mode W1
• Statistics Measures W1
• Bar Graph W2

YOU DO… (I watch/guide)

Hands-on, online curriculum aligned math worksheets that automatically tracks student progress.

Bar Graphs:

GR1

GR2

GR3

GR4

GR5

GR6

GR22

Summarizing data using dot plots:

GR26

GR27

GR28

Histograms

GR19

GR20

Reading Stem-and- Leaf Plots

GR34

GR35

GR36

GR37

Measures of Central Tendency: Mean, Median, and Mode

PR01      Mean_Median_Mode 1

PR06      Mean_Median_Mode 2

PR02      Mean 1

PR03      Mean 2

PR04      Median 1

PR05      Median 2

PR07      Mode

PR08      Range

Reading Box and Whisker Plots

GR38

GR39

GR40

GR41

Differentiation        I will use the KWL approach (What do I Know, What do I want to know, What did I learn) to determine student readiness. I will provide extra time, supplemental aids and reteach if necessary.

Planning   The student will understand how to use numerical and graphical summaries (mode, the percent of values in each category, and the percent bar graph) to summarize categorical data and use these summaries to describe the data distribution (center, spread, and shape).

Performance Indicators:

• Students will be able to represent numeric data in graphs (dot
  plots, stem-and-leaf plots, histograms, and box plots). 
• Students will be able to find mean, median, mode, range, and
  interquartile range (IQR) of a given data set.
• Students will be able to describe center, spread and shape of
  graphical representations and data distributions.
• Students will be able to interpret numeric data summarized in statistical graphs (dot plots, stem-and-leaf plots, histograms, and box plots).

Essential Questions:

• What is data?
• What role does data analysis play in everyday life?
• What is the difference between measures of center and measures of spread?
• How can we analyze data/graphs and describe patterns?

Journal

• Write in your journal about how to collect, to interpret, analyze and display data.
• What does “statistically literate” mean and why is it important to be “statistically literate”?
• Search the internet for statistical information about the pandemic (e.g. Statistics of U.S. Covid-19 Cases and CDC COVID data tracker ), analyze it and discuss it in our virtual class sessions.

Closing Product

• I will summarize numerical data sets in relation to their context, such as by giving quantitative measures of center (median/and or mode) and variability (interquartile range and/or mean absolute deviation).
• I will be able to make a box plot from a data set and write a summary of what the plot shows.
• I will be able to analyze and compare box plots and describe their structure and the spread of data.