Course Profile College and Apprenticeship Mathematics (MAP4C), Grade 12, College Preparation, Combined
Unit 5: Modelling
Time: 18 hours
Activity
5.1 | Activity 5.2 | Activity 5.3 | Activity 5.4
| Activity 5.5 | Activity
5.6 | Activity 5.7 | Activity 5.8
Unit Description
Students examine and
work with a variety of mathematical models in various forms: tables, graphs,
and formulas. Students investigate linear, quadratic, and exponential models in
a context that allows them to develop an understanding of how models are used
and created. Connections are made to occupations, such as game warden and
personal trainer, and sectors, such as travel and tourism, construction,
municipal planning, and business.
|
Activity |
*Time |
Learning Expectations |
Assessment Categories |
Tasks |
|
5.1 |
1.25 hours |
MMV.01, MMV.03,
MM1.01, MM1.03, MM3.04 |
Knowledge/
Understanding Communication |
Examine and make
predictions from a variety of models: linear, quadratic and exponential
graphs and tables |
|
5.2 |
2.5 hours |
MMV.01, MMV.03,
MM1.01, MM1.03, MM1.05, MM3.04 |
Application
Communication |
Gather and graph
light intensity data and work with exponential models |
|
5.3 |
1.25 hours |
MMV.01, MMV.02,
ASV.04, MM1.01, MM1.03, MM2.01, AS4.03 |
Thinking/Inquiry/
Problem Solving Communication |
Examine CPI as an
example of exponential growth, create and analyse graphical and formulaic
models, and make predictions |
|
5.4 |
1.25 hours |
MMV.01, MMV.03,
MM1.01, MM1.03, MM1.04, MM3.04 |
Thinking/Inquiry/
Problem Solving Application |
Make predictions,
analyse quadratic graphs, and find roots graphically or by examining table of
values |
|
5.5 |
1.25 hours |
MMV.01, MMV.03,
MM3.04, MM1.03, MM1.04 |
Application
Communication |
Graph data on
stopping distances under various conditions, analyse model, and predict how
model would change if conditions change |
|
5.6 |
2.5 hours |
MMV.01, MMV.02,
MMV.03, MM2.06, MM2.07, MM3.04, MM1.05 |
Knowledge/
Understanding Application |
Create graphs from
a given quadratic equation for various applications, factor, find roots, and
make decisions |
|
5.7 |
2.5 hours |
MMV.03, MM3.01,
MM3.02, MM3.03 |
Thinking/Inquiry/
Problem Solving Application |
Plan a trip to
visit to see various sports teams play in their hometown while meeting budget
constraints |
|
5.8 |
2.5 hours |
MMV.01, MMV.02,
MMV.03, MM1.05, MM2.01, MM2.02, MM2.04, MM3.03, MM3.04 |
Application
Thinking/Inquiry/ Problem Solving Communication |
Choose appropriate
models to create a formula for calculating costs for building a deck |
* An additional 3
hours are available for skill consolidation.
Time: 1.25 hours
Students model three
different situations. Using graphing technology, students interpolate and
extrapolate to answer questions posed for these scenarios.
Strand(s): Analysis of Mathematical Models
Overall
Expectations
MMV.01 - interpret
and analyse given graphical models;
MMV.03 - interpret
and analyse data given in a variety of forms.
Specific
Expectations
MM1.01 - interpret a
given linear, quadratic, or exponential graph to answer questions, using
language and units appropriate to the context from which the graph was drawn;
MM1.03 - make and
justify a decision or prediction and discuss trends based on a given graph;
MM3.04 - enter data
or a formula into a graphing calculator and retrieve other forms of the model
(e.g., enter data and retrieve a scatter graph or a table of values; enter a
formula and retrieve a table of values or the graph of a function).
·
use of graphing
technology to create scatter plots;
·
use of the
regression features of the calculator (knowledge from previous units in this
course. teachers may need to spend more time on this if they approach the
course in a different order);
·
interpolation and
extrapolation.
·
Have a class set
of graphing calculators available for this lesson.
·
Use graphing
calculators to create scatter plots and graphs;
·
Interpolate and
extrapolate from graphs to interpret and analyse models.
Teacher
Facilitation
·
Introduce the
topic of the activity – The Use of Models.
·
Review with
students the use of the List and the Regression features of the calculator. The
teacher may want to create a reference sheet that students can refer to
throughout the unit.
·
Discuss the
importance of r2 in
determining the appropriateness of a model. Students look for models with r2 as close to 1 as possible.
·
The teacher must
turn on the Diagnostic function of the calculator to get r2.
·
Create one list
of data (in the first quadrant only) that produces a cubic graph.
·
Using the
graphing calculators, demonstrate the use of the regression feature in testing
linear, quadratic, exponential, and cubic relationships. Students notice that
the cubic regression is the only one producing an r2 of 1. (Be careful to have the precision on the
calculators in floating mode as rounded values cause students to make incorrect
choices.)
·
Have students
work through the sample worksheet to investigate the three models.
·
The teacher may
use cooperative learning groups. For example, use a jigsaw strategy, in which a
student from each group learns a particular model, then uses it as an example
to teach the other students in their home group.
Sample Worksheet
Mathematical modelling
is important in many professions. A mathematical model provides a way of
analysing what is happening and helps in making predictions. Presenting a
collection of data in chart or co-ordinate form is one way to model a
situation.
Use the data given
in the three scenarios to produce scatter plots, determine the type of model
demonstrated in each example (remember to look for r2 = 1), and then answer the questions based on the
graph you created.
Scenario
1 – Rescue 911
In a rural
community, fire and paramedic crews must service a large region. They often
cover two or three towns several kilometres apart. These crews travel, on
average, 70 km/h to their destination. The Chief of Station 42 wants to
determine the time required to reach the patient’s home (response time) for his
region. The station is located next to the local hospital. The Chief knows the
distances to each community that he services, including Deerborn, the furthest
community, at 55 km away. Using the data, create a scatter plot showing the relationship
between distance to patient and response time.
|
Distance to Patient (km) |
Response Time (minutes) |
|
10 |
8.6 |
|
15 |
12.9 |
|
40 |
34.3 |
|
50 |
42.9 |
|
55 |
47.1 |
The Chief wants to
analyse several situations quickly so he decides to use a graph. Using your
scatter plot, answer the Chief’s questions:
1. Mrs. Klein lives 52 km from Station 42;
determine the approximate response time.
2. If the crew took 15 minutes to arrive at a
patient’s home, what distance have they travelled?
3. If someone is having a heart attack and must
make it to the hospital in 30 minutes, what is the furthest distance the crew
can travel and still arrive back at the hospital 30 minutes after the call is
made?
4. A second dispatch location is built in
Deerborn. Both stations cover the areas previously serviced by Station 42 and
take their patients to the hospital located beside Station 42. Describe how
this would change the original graph. (When a call comes in, emergency crews
leave from a dispatch location.)
Scenario
2 – Surf’s Up
A weather reporter
makes predictions based on data collected by the National Weather Centre. These
predictions can be very important to different people and professions. For
instance, the wind speed has a direct effect on the height of waves in the
ocean where many fishermen (anglers) work everyday. It could also be of
importance to a ferry boat company taking people to the 1000 Islands near
Kingston, or for parents planning a fishing trip with their children.
The data below is an example of the monthly averages for the speed of
peak gusts on Iles de la Madeleine in Quebec between 1984 and 1993. Create a
scatter plot showing the relationship between the month and the mean peak gusts
(knots). (*A gust is a quick burst of wind; the peak gust would be the maximum
speed it reaches in that burst.)
|
Months |
Mean (average) Peak Gusts
(knots) |
|
1 – January |
59 |
|
2 – February |
52 |
|
3 – March |
48 |
|
4 – April |
46 |
|
5 – May |
42 |
|
6 – June |
41 |
|
7 – July |
41 |
|
8 – August |
42 |
|
9 – September |
44 |
|
10 – October |
48 |
|
11 – November |
56 |
|
12 – December |
57 |
Using your graph,
answer the following:
1. Which month(s) have the lowest average peak
gust speeds?
2. Which month has the highest average peak gust
speeds?
3. Any gusts of wind with speed greater than 50
knots can be dangerous to small crafts. Draw a line on your graph showing this
speed. State all months with average peak gusts greater than 50 knots.
4. If it was discovered that November’s average
peak gusts were 5 knots below the mean this year, would you, as a fisherman, go
out on the lake and do some late season fishing? Justify your response.
Scenario
3 – Gas it Up!
A consumer activist
group wants the government to regulate gas prices. They investigated a 10-week
period, looking at the price of gas each Monday. They discovered that gas had
been going up by 1.0% each week. In the first week, gas was $0.65/L. Assuming
the price of gas continued to increase at this rate, create a scatter plot
showing the relationship between the week and the cost of gas per litre, over
the 10-week period.
|
Week Number |
Price per Litre of Gas |
|
1 |
0.65000 |
|
2 |
0.65650 |
|
3 |
0.66307 |
|
4 |
0.66970 |
|
5 |
0.67639 |
|
6 |
0.68316 |
|
7 |
0.68999 |
|
8 |
0.69689 |
|
9 |
0.70386 |
|
10 |
0.71090 |
Using your graph, answer the following:
1. Assuming the price keeps
rising at this rate, determine when gas will cost $1.00/L.
2. In week 8, John needs fuel. If
his tank is empty and can hold 50L, how much will it cost him?
3. A tour group planner creates a budget for a
bus trip to Stratford to see a play. They plan on
spending $100 on fuel for the bus. If the bus requires 75L for a one-way trip
to Stratford, what is the most expensive price per litre they can pay for gas
and still stay within their budget?
4. If they want to take the trip in the 8th
week, can the tour group stay within their budget? Explain.
As this is the first
activity of the unit, a teacher may want to discuss the solutions with the
class rather than collect the work. This early stage is a good chance to
provide diagnostic assessment. Student responses could be informally assessed
for Knowledge/Understanding, Application, and Communication to provide the
teacher with an idea of students’ background knowledge.
However, if the
teacher collects student work, the worksheet could be assessed for
Knowledge/Understanding, Communication, Application, and Problem Solving:
·
In Scenario 1,
Questions 1 and 2 focus on knowledge of the basic concepts, while Questions 3
and 4 require students to problem solve with linear equations as well as to
communicate their responses.
·
In Scenario 2,
Questions 1 – 3 demonstrate students’ understanding of the concepts and
properties of quadratic graphs, while Question 4 asks students to communicate
and reason an answer based on the model given.
·
In Scenario 3,
Question 1 focuses on students’ skills in extrapolation
(Knowledge/Understanding), Question focuses on application, while Questions 3
and 4 focus on problem solving situations requiring students to make a series
of choices.
The teacher may wish to create a rubric to mark the communication and
application questions in the worksheet. It may be easier to assess the
knowledge using a more traditional marking scheme.
Students’ skills in
using the graphing technology may vary. It may be appropriate to pair or group
students accordingly, as the focus of the investigation should be on the
discovery of the mathematical models.
Environment
Canada Website – http://weatheroffice.ec.gc.ca/index_e.shtml
OAME/OMCA “CARE
Package” (download) – http://www.oame.on.ca
Time: 2.5 hours
Students gather data
on the effect of layers of tinting on light intensity. Graphs are created and
students interpolate and extrapolate data from the graphs. Connections are made
to the tinting on vehicle windows and windows on buildings. Further connections
can be made to the change in light intensity with water depth.
Strand(s): Analysis of Mathematical Models
Overall
Expectations
MMV.01 - interpret
and analyse given graphical models;
MMV.03 - interpret
and analyse data given in a variety of forms.
Specific
Expectations
MM1.01 - interpret a
given linear, quadratic, or exponential graph to answer questions, using
language and units appropriate to the context from which the graph was drawn;
MM1.03 - make and
justify a decision or prediction and discuss trends based on a given graph;