Using this lesson worksheet, computers and a simple programming interface, students step through and build a simple program to sequentially calculate all of the variables in the Hardy Weinberg equations. By building the program in sequence it is hoped that students will learn the sequence to solve a Hardy Weinberg problem and appreciate the value and power of computer number crunching capabilities as well as sequential programming considerations.
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By building a program to determine the valence of ANY element on the first three rows of the Periodic table, students learn the steps to solve the problem while learning how to program logic and think about processing data in sequence. NOTE: The worksheet includes the option of letting students create a bug that they have to fix.
Students create a spreadsheet (or use the one provided) to gather planet data and put in categories. They massage spreadsheet to tease out relationship between distance from sun and revolution speed. They use data to predict speed and/or distance for Ceres, the new dwarf planet between Mars and Jupiter.
"Pre" extension - The first extension creates programming to ask the user for values that are needed to figure out the frequency of individuals showing the recessive trait. This is THE one number needed to calculate all the other frequencies. The frequency of individuals showing the recessive trait is the only one that can be observed in a population BUT it is not always given in the word problem.
"Post" extension - The second will take the frequencies and apply them to an actual population number to generate actual numbers of individuals of the 3 genotypes and numbers of each allele … in that population.
Students massage (by sorts) spreadsheet data to tease out the relationships between latitude, angle of the sun, surface area of light beam and temperature. Also introduces possible confounding variable of elevation and the need to control for elevation.
• Uses data in a spreadsheet (provided) and flashlight beam lab or Sketchup file to see light surface area increase or decrease with angle change.
Students roll vehicles down and inclined plane placed at various heights and measure distance traveled. Recorded and graphed data reveals an unexpected data trend (due to friction force).