Monday, May 11, 2015 STATE TESTING: MATH
Common Core Standards
8.G.C.9
Know the formulas for the volumes of cones, cylinders, and spheres and use them to solve real-world and mathematical problems.
Student Objectives
I can apply formulas to calculate the volume of cones, cylinders, and spheres.
Bellwork
Students will turn in homework.
Students will complete "Volume Review Ticket."
Lesson (Volume Test)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Students will take a test over volume.
Closing
Writing prompt: "What I know about scatterplots........"
Homework
Journals and binders will be collected and graded Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Files
Common Core Standards
8.G.C.9
Know the formulas for the volumes of cones, cylinders, and spheres and use them to solve real-world and mathematical problems.
Student Objectives
I can apply formulas to calculate the volume of cones, cylinders, and spheres.
Bellwork
Students will turn in homework.
Students will complete "Volume Review Ticket."
Lesson (Volume Test)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Students will take a test over volume.
Closing
Writing prompt: "What I know about scatterplots........"
Homework
Journals and binders will be collected and graded Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Files
Tuesday, May 12, 2015
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
I can differentiate between bivariate and univariate data.
I can differentiate between different types of graphs.
I can use technology to create different types of graphs.
Bellwork
Students will complete the "Data Analysis Vocabulary Ticket."
Lesson (Introduction to Bivariate Data/Scatterplots)
Comparison of Univariate and Bivariate Data lesson from Interactivate
Closing
Students will rate their understanding of today's topic.
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Introduction to Scatter plots video
Learn about Scatter plots and Best-Fitting Lines video
Scatter plot Graphs and Line of Best Fit video
Scatter Plots video
Files
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
I can differentiate between bivariate and univariate data.
I can differentiate between different types of graphs.
I can use technology to create different types of graphs.
Bellwork
Students will complete the "Data Analysis Vocabulary Ticket."
Lesson (Introduction to Bivariate Data/Scatterplots)
Comparison of Univariate and Bivariate Data lesson from Interactivate
Closing
Students will rate their understanding of today's topic.
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Introduction to Scatter plots video
Learn about Scatter plots and Best-Fitting Lines video
Scatter plot Graphs and Line of Best Fit video
Scatter Plots video
Files
Wednesday, May 13, 2015
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a scatter plot, I can identify the association between the variables as negative, positive, or none.
Given a scatter plot, I can draw a line of best fit to show the trend of the data and make predictions.
Bellwork
Students will turn in their homework.
Students will complete the "Univariate-Bivariate Data Ticket."
Lesson (Linear Associations)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Direct instruction and demonstration: scatter plots Powerpoint presentation and cloze notes
4. Demonstration: Interactivate: Regression tool
5. Guided cooperative practice: scatter plots game on IXL
6. Independent practice:
Closing
Exit ticket: "Types of Linear Associations"
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Scatter Plots: Introduction to Positive and Negative Correlation video
Math Tutorial: Interpreting Scatter Plots
Mangahigh representing data game-3 levels of play, great practice tool for test
Files
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a scatter plot, I can identify the association between the variables as negative, positive, or none.
Given a scatter plot, I can draw a line of best fit to show the trend of the data and make predictions.
Bellwork
Students will turn in their homework.
Students will complete the "Univariate-Bivariate Data Ticket."
Lesson (Linear Associations)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Direct instruction and demonstration: scatter plots Powerpoint presentation and cloze notes
4. Demonstration: Interactivate: Regression tool
5. Guided cooperative practice: scatter plots game on IXL
6. Independent practice:
Closing
Exit ticket: "Types of Linear Associations"
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Scatter Plots: Introduction to Positive and Negative Correlation video
Math Tutorial: Interpreting Scatter Plots
Mangahigh representing data game-3 levels of play, great practice tool for test
Files
scatterplots[1].ppt | |
File Size: | 737 kb |
File Type: | ppt |
Thursday, May 14, 2015
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a scatter plot, I can identify the association between the variables as negative, positive, or none.
Given a scatter plot, I can draw a line of best fit to show the trend of the data and make predictions.
Bellwork
Students will turn in homework.
Students will complete the "Associations Ticket"
Lesson (Shake It Up With Scatterplots/Creating a Scatterplot)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Anticipatory set: National Geographic earthquake video
4. Shake it up with scatterplots lesson from Scholastic: Students will create scatter plots to explore the relationship between earthquake intensity and distance from an earthquake's epicenter.
Closing
Exit ticket:
Homework
Complete 3 problems on the "Scatter plots-Line of Best Fit" worksheet.
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Naruto Line of Best Fit game on XP Math
Scatter (XY) Plots tutorial on Math is Fun
Plotting Scatter Diagrams web lesson/competition
Files
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a scatter plot, I can identify the association between the variables as negative, positive, or none.
Given a scatter plot, I can draw a line of best fit to show the trend of the data and make predictions.
Bellwork
Students will turn in homework.
Students will complete the "Associations Ticket"
Lesson (Shake It Up With Scatterplots/Creating a Scatterplot)
1. Whole class: go over bellwork
2. Whole class: go over homework
3. Anticipatory set: National Geographic earthquake video
4. Shake it up with scatterplots lesson from Scholastic: Students will create scatter plots to explore the relationship between earthquake intensity and distance from an earthquake's epicenter.
Closing
Exit ticket:
Homework
Complete 3 problems on the "Scatter plots-Line of Best Fit" worksheet.
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Naruto Line of Best Fit game on XP Math
Scatter (XY) Plots tutorial on Math is Fun
Plotting Scatter Diagrams web lesson/competition
Files
scatterplots_line_of_best_fit.pdf | |
File Size: | 99 kb |
File Type: |
associations_ticket.docx | |
File Size: | 16 kb |
File Type: | docx |
Friday, May 15, 2015
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a data table, I can construct a corresponding scatterplot.
I can identify the relationship between the variables: positive, negative, or none.
Bellwork
Students will turn in homework.
Students will complete ""
Lesson (Constructing and Analyzing Scatterplots)
Scholastic lesson 2: Constructing and Analyzing Scatterplots
Closing
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Scatter Plot Review Jeopardy
Files
Common Core Standards
8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.
8.SP.A.4
Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.
Student Objectives
Given a data table, I can construct a corresponding scatterplot.
I can identify the relationship between the variables: positive, negative, or none.
Bellwork
Students will turn in homework.
Students will complete ""
Lesson (Constructing and Analyzing Scatterplots)
Scholastic lesson 2: Constructing and Analyzing Scatterplots
Closing
Homework
Journals and binders will be collected and graded on Thursday, May 21.
There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.
Links
Scatter Plot Review Jeopardy
Files