Periodic Trends: Reading Ionization Energy Data
Students analyze first ionization energy data for periods 2 and 3 and group 1, describe the trends, spot the exceptions and make predictions.
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Students analyze first ionization energy data for periods 2 and 3 and group 1, describe the trends, spot the exceptions and make predictions.
Students turn binary rows into a pixel picture, shorten rows with run-length codes, read red-green-blue color values and calculate how much storage a small image needs.
Students calculate population density for six made-up countries, rank them, and explain how land and cities affect density.
Students analyze made-up class data from potato cores soaked in salt solutions, calculate percent change in mass and write a data-based conclusion about osmosis.
Students use one month of fictional bakery records to calculate revenue, gross profit and net income, then analyze a second month and spot a common mistake.
Students read two data tables for a moving object, find acceleration from slopes, find distance from areas, and sketch the graph.
Students compare three provided nutrition labels, calculate whole-container totals and percent Daily Values, and choose a snack using evidence.
Students read about air pressure and fronts, then interpret sample weather station reports and an hourly record to identify a cold front passing a town.
Students classify eight energy sources as renewable or nonrenewable, then calculate sample electricity bills and the savings from a more efficient light bulb.
Students interpret a small data table, separate correlation from causation, design a simple experiment on paper and match ethics principles to examples.
Students analyze a made-up five-year lake data set to link nutrient runoff to algae growth, low oxygen and fewer fish, then propose a follow-up investigation and a solution.
Students use a provided ASCII table to turn words into numbers, decode secret messages, and connect letter codes to binary.