Algebra Module 2a Statistics:

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The Algebra Utah Core objectives for statistics focus primarily on scatter plots and line of best fit. For purposes of contrast, other statistical concepts are included below.
*Alg Stats 2.1 covers stem and leaf and box plots and measures of central tendency .
*Alg Stats 2.2 covers the same as 2.1, but involves comparing more than one set of data.
*Alg Stats 2.3 and 2.4 involves two variable data, introduces scatter plots and line of best fit.
*Alg Stats 2.5 and 2.6 involve all of the concepts included above.
*Some lessons below can be accessed from NCTM's Navigating Though Data Analysis, Gr 6-8
Lessons Lesson Summary
For virtual manipulatives for data analysis and probability, please see: (scroll down) http://matti.usu.edu/nlvm/nav/grade_g_3.html

Alg Stats 2.1a Pulse Rates
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Students collect data for resting, exercising and recovery pulse rates, organize the data into stem and leaf plots, use the calculator to create histograms and box plots, sketch the graphs and record and analyze the statistics.

Alg Stats 2.1b Central Tendency Questions       PDF

Students answer questions geared to help them differentiate different measures of central tendency.
Alg Stats 2.2a NBA Heights
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Students use stem and leaf plots, histograms and box plots to examine how much taller NBA basketball players are than students?
Alg Stats 2.2b Testing Batteries
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Students consider the question of how to determine which brand of batteries is better, examine and organize data, create plots, analyze the results in order to respond to the battery question.
Alg Stats 2.2c Stopping Distances
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Students consider the question of how much distance cars need for stopping at different speeds and whether or not different kinds of cars stop faster than others? They examine and organize data, create plots and analyze their results
Alg Stats 2.2d Reaction Times
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Students consider the question of different reaction times for different people, collect reaction time data, organize small and large data samplings, create histograms, examine a normal curve representation for a general population.
 
*To correlate the study of statistical scatter plots and "line of best fit" with the conceptual foundation for linear equations, please refer to Module 4, lessons 4.6 to 4.8.
Alg Stats 2.3a Scatter Plots
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Students examine a scatter plot relating area codes and state population and are introduced to the concept of a line of best fit.

Alg Stats 2.3b Line of Best Fit Contest
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Students create graphs by hand and on the calculator. They use string, spaghetti, and a toothpick to determine a line of best fit, create an equation. Then they have the calculator create the linear regression to see who won the contest.
Alg Stats 2.4 Head Hunters
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Students create a scatter plot and line of best fit to examine the relationship of head circumference to height.
Alg Stats 2.5 Predictions Students create scatter plots to study correlations in Olympic times and decades, population growth in the U.S., factors in financial success of movies. (Please access pp 107-109, Navigating Through Data Analysis grades 6-8 )
*Dave Bradley's Data Activities for Pre-Algebra(includes internet statistics links)

Students will pick a statistical question of their own, research data and answer the question using statistical measures. *Access Dave Bradley's links at left.

Alg Stats 2.6 Congress and Pizza Students examine the question of whether or not we can predict how many pizza restaurants there are in a state based on how many congressmen there are and whether or not ? (Please access pp.102-103, Navigating Through Data Analysis gr 6-8 )