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Dominant and Recessive Traits Data Table and Graphing Review.

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Presentation on theme: "Dominant and Recessive Traits Data Table and Graphing Review."— Presentation transcript:

1 Dominant and Recessive Traits Data Table and Graphing Review

2 Data Tables O Data tables are used to organize the data you collect O A table is a series of columns and row O A title and labels helps the reader understand the information presented in the table Title Label

3 Graphs O A graph is used to show a visual of the data O Graphs help identify patterns and trends O A bar graph is used to compare a sets of data O A line graph is used to show changes in data over time

4 Dominant and Recessive Traits O A dominant trait is the trait that appears when two different alleles are inherited for the same trait. Tt T= tall t= short O A recessive trait is the trait that seems to disappear when two different alleles are inherited for the same trait. Yy Y= yellow seeds y= green seeds

5 Let’s collect some data! O First we must create a data table. O Draw a data table with 2 rows and 9 columns O Label the first column with “type of trait” and the second row with “# of students” Type of Trait # of students

6 Let’s collect some data! O Let’s count the number of students with dominant brown hair color. (Place a D next to this label in your data table for dominant.) O Then lets count the number of students with recessive blonde or red hair. (Place a R next to the label in your data table for recessive.)

7 Let’s collect some data! Type of Trait Brown hair (D) Blonde or red hair (R) # of students

8 Let’s collect some data! O Let’s count the number of students with dominant free ear lobes. (Place a D next to this label in your data table for dominant.) O Then lets count the number of students with recessive attached ear lobes. (Place a R next to the label in your data table for recessive.)

9 Let’s collect some data! Type of Trait Brown hair (D) Blonde or red hair (R) Free Ear lobes (D) Attached Ear lobes (R) # of students

10 Let’s collect some data! O Let’s count the number of students with dominant widow’s peak. (Place a D next to this label in your data table for dominant.) O Then lets count the number of students with recessive no-widow’s peak. (Place a R next to the label in your data table for recessive.)

11 Let’s collect some data! Type of Trait Brown hair (D) Blonde or red hair (R) Free Ear lobes (D) Attached Ear lobes (R) Widow’s Peak (D) No Widow’s Peak (R) # of students

12 Let’s collect some data! O Let’s count the number of students with dominant tongue rolling. (Place a D next to this label in your data table for dominant.) O Then lets count the number of students with recessive non-rolling. (Place a R next to the label in your data table for recessive.)

13 Let’s collect some data! Type of Trait Brown hair (D) Blonde or red hair (R) Free Ear lobes (D) Attached Ear lobes (R) Widow’s Peak (D) No Widow’s Peak (R) Tongue Rolling (D) Non-rolling (R) # of students

14 What type of graph should we make? A Bar Graph!

15 Steps to Make a Bar Graph 1. Label the x and y axis 2. Name the x and y axis 3. Create categories on the x and y axis 4. Plot your data 5. Color code 6. Create a key *NOTE* X-categories is the information that does not change Y-categories is the information that changes


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