Announcements

  • Welcome to a new semester. Please see below for homework, assignments and test dates. Note: All homework is due the next school day unless otherwise stated.

    UPCOMING ASSESSMENT DATES

    • FINAL EXAM: Week 1 Period 2 Class - Mon. June 24th, Week 1 Period 4 Class - Wed. June 26th
    • EQAO Booklet #1 - Wed. June 12th
    • EQAO Booklet #2 - Thurs. June 13th
    • EQAO MOCK Test - Fri. June 7th
    • MEASUREMENT & GEOMETRY TEST - Thurs. May 30th
    • Linear Relations Test #2 - Wed. May 15th

    LINEAR RELATIONS UNIT

    Test #1 - Friday April 26th. See list of success criteria on the handout.

    Test #2 - Wednesday May 15th. See list of success criteria on the handout.

    May 14th. Study for tomorrow's test.

    May 10th. Complete the Study Review Sheet. Finish the EQAO questions started in class on standard form/parallel & perpendicular lines/identifying linear & non-linear relations using a table of values or equation (if not completed in class).

    May 9th. X- and Y- Intercepts. Re-arranging standard form to slope-y-intercept form. Graphing a linear equation from standard form by rearranging to slope-y-intercept form and finding the x- and y- intercepts. pg. 169 #1, 4, 9, 13, 15.

    May 8th. PM class only. Standard Form. pg. 269 #1, 3, 5(a) and pg. 303 - 305 #3(d, f), 8 (c, d), 9, and 15(b). (AM class attended a presentation so no homework).

    May 7th. Identifying Linear and Non-Linear Relations from a table of values, equation or graph. Pg. 156 - 158 #1, 3, 4 and pg. 179 - 180 #1 - 4, 6, 7. Effects of Changing the value of the Slope or Y-intercept.

    May 6th. Parallel and Perpendicular Lines and Slopes. pg. 303 - 305 # 1 - 8, 15a. (For #3 omit d and f, and for #8 do (a) and (b) only).

    May 3. Both AM & PM classes: Interpreting the Point of Intersection. The handout will be due on Tuesday, May 7th.

    May 2. AM Class. Creating Equations from the Line of Best Fit on a graph. Complete all the questions in the handout of EQAO questions titled "Winter 2009 - Thrill Ridss". PM class - no homework.

    May 1st. AM Class. Creating Equations from a Data Table or Real-Life Applications. pg. 292 - 293 #11 - 14. PM Class. Creating Equations from a Line of Best Fit. Complete all of the questions in the handout of EQAO questions, titled "Winter 2009 - Thrill Rides".

    April 30th. AM class - Slope of a line using two points. Pg. 291 #3, 6, 7, 8, 9. PM class - Equations from a Data Table or Real-Life Application. Pg. 292 - 293 # 11 - 14.

    April 29th. Finding the slope of a line using two points and the slope formula. Finish the handout "Pancake Pacing" (am MPM1D class). Slope of a line using two points. Pg. 291 # 3, 6, 7, 8, 9. (pm MPM1D class)

    April 24th. Graphing an equation using the slope and y-intercept. Pg. 263 #1, 2 and pg. 290 #1, 2, 4, 5 and pg. 158 # 11 - 14.

    April 23rd. Calculating the slope of the line using 2 points in the slope formula and connecting it to rise/run on a graph. Introduction to using the slope and y-intercept to graph the equation without creating a table of values.

    April 18th. Calculating the slope of a line on a graph using rise/run. Identifying y-intercept and slope using the equation y = mx + b. Complete the handouts for slope.

    April 17th. Special cases of horizontal and vertical lines. Identifying them from the equation, table of values and graph. Complete the handouts.

    April 16th. Creating a table of values from an equation and using it to create a graph. Complete the handouts.

    April 15th. Direct and Partial Variation. Finish examples 3 and 4 in your note-package (Cost for pizza and cost for milk), plus the handout on direct and partial variation.

    April 12th. Distance-Time Graphs/Walk the Graph. Complete the following EQAO question in your note package: 

    April 11th: Lines and Curves of Best Fit Practice. pg. 337 - 338 #2, 3, 5 and pg. 343 #1 - 3 and pg. 349 - 350 #2, 4, 5.

    April 10th: Curves of Best Fit. 

    April 9th: Correlation in Scatterplots. 

    April 8th: Lines of Best Fit.

    April 5th: Introduction to Scatterplots.

     

     

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