**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

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.

__I can differentiate between bivariate and univariate data.__

Student Objectives

Student Objectives

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.

__Given a scatter plot, I can identify the association between the variables as negative, positive, or none.__

Student Objectives

Student Objectives

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"

__Journals and binders will be collected and graded on Thursday, May 21.__

Homework

Homework

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.

__Given a scatter plot, I can identify the association between the variables as negative, positive, or none.__

Student Objectives

Student Objectives

Given a scatter plot, I can draw a line of best fit to show the trend of the data and make predictions.

__Students will turn in homework.__

Bellwork

Bellwork

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.

Homework

There will be an end-of-year test on Tuesday and Wednesday, May 26 and May 27.

__Links__

Scatter Plot Review Jeopardy

__Files__