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Pupils record temperatures at different locations around campus. They examine the results and draw conclusions about how materials and colors affect the amount of heat produced. They also analyze Los Angeles' temperature records over a 100-year span and participate in a human bar graph of the data. This lesson plan is loaded with background information, resource links, and a data collection worksheet for your convenience. It is a terrific lesson for exploring heat and the weather.
An inventive lesson shows learners how to collect, organize, and present mathematical data. They access websites which lead them through a variety of ways to engage in data collection. They get to design and create graphs, and present them to the class. Many cross-curricular lesson links related to this lesson are included in this spectacular plan.
Second graders use the internet to locate weather reports. They present data collected to the class through poster presentation. They read aloud the book Cloudy with a Chance of Meatballs by Judi Barrett and answer questions about the book's weather compared to our weather.
Young scholars practice data collection skills by observing common bugs found in their local environment. Once the data is collected they complete data sheets to compare, contrast, sort, and classify the insects. The lesson includes multiplication skills as students determine the total number of insect parts.
Fourth graders collect data for a specific purpose. In this weather collection instructional activity, 4th graders observe local weather conditions for period of time and plan how to chart the data they collect. Students evaluate the data as well as their data collection plans once the time period ends.
Students define the different methods used for optimizing a particular element of a problem. For this optimization problem lesson, students optimize appropriate details of a problem using data collection, algebra, technology, and/or calculus. Students also complete the inquiry-based worksheets included with the lesson.
Students explore experimental and theoretical probability. For this middle school data collection and analysis lesson, students investigate the possible combinations of genotype using a Punnett Square. Students generate data using experimental probability and the laws of heredity.
Students use their birthdays as a data set. In this data collection lesson plan, students chart and color code their class's birthday data. Students conduct Internet research to compile and chart famous birthdays as well. The data is finally used to create a pie chart on Excel, which will then be used for analysis.
Students collect data about the brightness of different light bulbs. In this data collection about the brightness of different light bulbs lesson, students determine the relationship of various watt light bulbs. Students plot their data using a scatter plot. Students find a linear model to fit the data.
Young scholars are able to use a secchi disk to measure the turbidity of water by determining the depth at which the sechi disk is no longer visible and using the data in a formula to quantify the results. They are able to use Vernier probes to condcut water quality testing for: dissolved oxygen, nitrates, pH, temperature, phosphorous and produce computer printouts of the data collected.
Students collect data on the turbidity of water. In this data collection on the turbidity of water lesson, students record the amount of light passing through a water sample. Students add dirt 10 grams at a time to the water and record the light intensity. Students make a scatter plot of the data. Students discuss the meaning of the y-intecepts and shape of the graph.