Unit 1, Lesson 3Unit 1, Lesson 3Kind of BeanKind of Bean
Unit 1, Lesson 3Unit 1, Lesson 3Kind of BeanKind of Bean
We are going to review the four steps We are going to review the four steps of the TIMS Lab Method. We will sort of the TIMS Lab Method. We will sort
and count beans. Then we will and count beans. Then we will record, organize, graph, and analyze record, organize, graph, and analyze
their data.their data.
Goals• Identify and use variables• Sort and classify objects• Collect and organize data in tables• Make and interpret bar graphs• Make predictions based on a
sample
Vocabulary• Population – a group or collection
of things. The population of your city or town is the group of people who live there.
• Sample – a smaller group or part of the whole population.
Vocabulary• Variable – Something that is different.
There are two variables in this lesson.
• Most common – what happens or occurs most often. Three of my children have blonde hair. One of them has brown. So, blonde is the most common hair color for my children.
Teaching the Lab• We will sample a collection of
three types of beans to model sampling an animal population.
• Why would we sample a population?
• Turn to page 8 in Student Guide. Discuss pages 8-10
Why would we sample a population?
• It is easier to collect data on a small sample of a population than to count the entire population.
• You can use the information from a small sample to predict the number in an entire population.
• You can also use the information to predict which type of bean is most common in the entire population.
Discuss data table• Column heading• Symbols for variables• Title• Horizontal axis• Vertical axis• Bars
Identifying the Variables and Drawing
the Picture• Beans represent animals• How can we classify or sort the beans?• What kind of beans are in the population?• If our experiment is like the Robinsons’, what two
variables would we study?• What are the values of the variable “kind of
bean”?• Do we know the values of the variable Number of
Beans before we do the experiment?• How could we predict the most common kind of
bean or the least common kind of bean without counting all the beans?
Vocabulary• Value – The number that tells how
many
• The value for the number of students in my class is 15. The value for the number of children I have is 4.
Vocabulary• Least common – The least
common is the one you have the smallest number of.
• The least common vegetable served in the cafeteria is fried egg plant.
Setting up the Lab• Draw a picture of the lab setup• Identify the variables
Collecting the Data• Use a spoon to pull out a sample
of beans• Sort the beans in your sample• Count the beans in your sample• Record your data in the data table
Graphing the data• Label graphs
– Title– Axis
• Record data from table to graph• Which bar is the tallest on most
graphs? Why?• Which bar is the shortest on most
graphs? Why?
Exploring the Data• Work with your partner to
complete questions 1-5 in your Discovery Assignment Books on pages 11-12
Exploring the Data• We are going to collect a second
sample of beans. But, before we do, answer Question 6 on DAB pg. 11.
• Discuss the predictions.
Collecting the Data• Collect your second sample and
then complete Questions 7 through 10 on DAB pg. 12.
• You have 10 minutes and then we will share the results.
Journal Prompt• Describe your population of beans
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