ANALYZE DATA

 OVERVIEW Once all data are collected, checked and posted, students will organize and describe data. Click HERE for Core Curriculum Standards.

Learning Objectives:

• Students will organize and describe collected data.
• Students will construct, read, and interpret tables and graphs.
• Students will make inferences and convincing arguments that are based on data analysis.
• Students may evaluate arguments that are based on data analysis.
• Students will conduct an experiment and interpret and communicate outcomes.
Grades 9 and up may also include:
• Students will construct and draw inferences from tables and graphs that summarize data from real-world situations.
• Students will use correlation coefficient to predict from data.
• Students will understand and apply measures of correlation.
• Students will understand a sampling and recognize its role in statistical claims.
Materials needed:
• graph paper
• rulers
Procedures:
• Using checked data, students will begin graphing in preparation for analysis and final report.
• Have students make a table whereby the first column represents the school name, the second column represents the school's distance from the nearest power plant, and the third column represents the pH levels.  All schools should be included in this table.
• Students will make a scatter plot whereby the horizontal axis represents the distance and the vertical axis represents the pH level.
• Students will plot the data from their table and look for a trend in the data.  (Click HERE for pre-lesson plan.)
• If a correlation exists, students will draw a line of best fit.
Assessment

Have students discuss analysis and prepare FINAL REPORTS.

* For higher level students (with Statistics background):

• If a correlation exists, have students determine the correlation coefficient to measure the extent of the relationship.
• Compute and graph the regression line.
• Find estimates of the dependent variable (pH) for a given value of the independent variable (distance).