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.
Statistics/Data Analysis Lesson Plan
Standards:
TEKS 6.12 A, TEKS 6.12 B, TEKS 6.12 C, TEKS 6.12 D
🔗 Lesson Plan W29 🔗
🔗>>Unit 9 Review (Statistics)<<🔗
Guided Practice
I DO… (You Watch)
>>Step by Step Statistics Videos<<
STAT009 Measures of Central Tendency
STAT025 Frequency Distribution Table
STAT022 Interpreting Histograms
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:
Summarizing data using dot plots:
Histograms
Reading Stem-and- Leaf Plots
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
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.