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| 10 Theory slides |
| 9 Exercises - Grade E - A |
| Each lesson is meant to take 1-2 classroom sessions |
Here are a few recommended readings before getting started with this lesson.
Magdalena has just found an old printer toy she used to play with when she was a child. She discovered that the toy prints random functions as labels.
Review the definitions of linear, quadratic, and exponential functions.
Linear Function | y=2x+1 |
---|---|
Quadratic Function | y=x2+3x+1 |
Exponential Function | y=3⋅2x |
In the following applet, determine whether the given function is linear, quadratic, or exponential.
When considering a table of values, the trend of the data can be determined by observing how the dependent variable changes over equal intervals. To do so, the following situations need to be analyzed.
The applet below illustrates each situation.
Magdalena's father works as a manager for a fish farming company. This morning, Magdalena and her brother Vincenzo poked around in her father's briefcase. They found some papers containing information about the fish population in three nearby lakes.
Fish Population (Thousands) | |||
---|---|---|---|
Time (Months) | Lake Verdastro | Lake Rumoroso | Lake Mezzo |
0 | 1356 | 721 | 1207 |
1 | 6676 | 2163 | 3007 |
2 | 11996 | 6489 | 7807 |
3 | 17316 | 19467 | 15607 |
4 | 22636 | 58401 | 26407 |
Lake Verdastro: Linear Function
Lake Rumoroso: Exponential Function
Lake Mezzo: Quadratic Function
The y-values have a common difference in a linear function, while in an exponential function, the y-values have a common ratio. Furthermore, in a quadratic function, the second differences are constant.
Lake | Model |
---|---|
Verdastro | Linear Function |
Rumoroso | Exponential Function |
Mezzo | Quadratic Function |
Note that the analysis suggests that Lake Rumoroso is the best for fish farming. The children gave this information to their father, who was delighted by this excellent analysis and took them for ice cream as a reward.
Magdalena will start college soon, so she decided to start saving money to buy a new computer. The computer she wants costs around $2000. Thanks to her help with the analysis for the fish farming company, her father gave Magdalena an initial amount of $1000. She plans to add $40 to her savings each week.
Magdalena wants to buy the computer as soon as possible. She thinks she will be able to afford it after 30 weeks of saving the money but she isn't sure. Answer the following questions to help her discover if she will save enough money for the new computer by then.
x=30
Multiply
Add terms
Magdalena is happy with her new computer. She is also using it for her part-time job as a designer to help pay for her school expenses. She sells 50 designs per month at $59 each. However, because creating each design is complex, she plans to increase the price of each design. She estimates that for each $5 increase, two fewer designs will be sold per month.
Magdalena wants to know what price will maximize her revenue, or the amount of money she makes. Identify the following information to help Magdalena make the best decision about her small business.
S(x)=50−2x, N(x)=59+5x
Distribute 50−2x
Commutative Property of Multiplication
Distribute 59&5x
Add terms
Commutative Property of Addition
Vincenzo, Magdalena's little brother, loves dinosaurs. He wants to make a 10-minute film for a school assignment, explaining the history of this extinguished group of reptiles. He asked Magdalena to help him make and edit the video on her computer. However, the siblings are worried because Vincenzo has a USB drive with only 16GB to store the film on.
After some research, Magdalena found that any high-quality video file requires an initial storage space of 20MB. This required storage space doubles for each additional minute. The children now have to investigate whether the USB drive has enough space for Vincenzo's completed film. Find the following information to help them.
Function: f(x)=20⋅2x
x=10
Calculate power
Multiply
See solution.
Begin by analyzing the behavior of the functions. Do all functions have a turning point? What is the maximum number of x-intercepts each function could have?
Three distinctive characteristics of quadratic functions will be identified one at a time.
Linear and exponential functions either only increase or only decrease. Conversely, quadratic functions always decrease and increase. The order depends on the direction in which the parabola opens.
Because a parabola either opens upward or downward, there is always one point that is the absolute minimum or absolute maximum of the function. This point is called the vertex.
Using this information, a third distinctive characteristic of quadratic functions can be determined.
While non-horizontal linear functions and exponential functions have at most one x-intercept, quadratic functions can have up to two x-intercepts.
Only three distinctive characteristics of quadratic functions are presented here. Please note that there are a few others.
Three Distinctive Characteristics of Quadratic Functions |
---|
Linear and exponential functions either only increase or only decrease. Conversely, quadratic functions always decrease and increase. The order depends on the direction in which the parabola opens. |
Because a parabola either opens upward or downward, there is always one point that is the absolute minimum or absolute maximum of the function. This point is called the vertex. |
While non-horizontal linear functions and exponential functions have at most one x-intercept, quadratic functions can have up to two x-intercepts. |
Do the points appear to represent a linear function, an exponential function, or a quadratic function?
To determine the most appropriate model, we will start by recalling how linear, quadratic, and exponential graphs look like.
With this information in mind, let's now connect the points in the given diagram. By doing this, we will be able to see the type of curve that best fits the data.
The curve resembles a parabola. Therefore, the points are best described by a quadratic function.
We will start by connecting the points like we did in Part A. By doing this, we will be able to see the type of curve that best fits the data.
Now we can see that the curve that best fits the given points is an exponential function.
Just as we did before, we will connect the points to figure out which type of function is the best fit.
We can see that we can draw a straight line through the given points. Therefore, the points represent a linear function.
Do the points appear to represent a linear, exponential or quadratic function?
To determine the most appropriate model for the given data set, we will start by recalling how linear, quadratic, and exponential graphs look like.
Let's now consider the given points. (- 2,0), (- 1, 1), (1,3), (2,4) Next, we will plot the points in a coordinate plane and connect them with a line or a smooth curve. Doing this makes it easier to tell the type of curve that best fits the points.
We see that a straight line passes through the points. This means the data set represents a linear function.
Let's consider the given points. (0, 14), (1, 1), (2,4), (3,16) Just like in Part A, we will plot the points in a coordinate plane and connect them with a line or smooth curve.
We obtained an exponential curve. Therefore, the curve that best fits the points is represented by an exponential function.
Finally, let's consider the last data set. (-2, 9), (- 1,0), (0, - 3), (1,0), (2,9) As we did in both previous parts, we will plot them in a coordinate plane and then connect them with a curve.
As we can see, the best curve we can fit to the points is a parabola, which is produced by a quadratic function.
Which graph does not belong with the other three?
After examining the graphs, we can see that the graphs given in options A, B, and D are parabolas. Therefore, these three graphs represent quadratic functions.
Conversely, the graph of opction C presents the characteristic shape of an exponential function. Therefore, this graph does not belong with the other three.
This time, if we examine the graphs we will see that the graphs given in options A, B, and C increase for all the points in their domain. Therefore, each of these graphs represents an increasing function.
On the other hand, the graph in option D is a decreasing graph and therefore represents a decreasing function. This is the graph that does not belong with the other three. Note that, although the graphs in options A, B, and C represent different types of functions, they can be grouped together because they all increase in their entire domain.
Kriz takes the bus to the school every morning. Their school is four stops away from their house. The table below shows the time it takes the bus to arrive at each of the four stops. Is this data modeled by a linear, exponential, or quadratic function?
We want to know if the data can be modeled by a linear, exponential, or quadratic function. To do, so we will examine how the distance and time change between consecutive data points.
The difference in distance and time between the second and third data points is the same as the difference in distance and time between the third and fourth data points. Let's investigate the difference between the first and second data points by expanding the ratio of Δ d to Δ t by 4. This way we match the difference in t and can tell if the difference in d is the same.
After expanding the first rate of change, we can see that all the rates of change are constant. Therefore, the data can be modeled by a linear function.
LaShay is selling circular rugs. The table shows the cost of the rugs c, in dollars, depending on their diameter d, in feet.
If the data represents a linear function, the differences between consecutive data points, or their first differences, should be constant. Note that the difference in the independent variables should also be constant between consecutive points. Let's see if this is the case.
The first differences are not constant even though the differences in the independent variable are constant. Therefore, the data cannot be modeled by a linear function. Let's check whether it can be modeled by a quadratic function. We can do this by checking the second differences. If they are constant, the data can be modeled by a quadratic function.
Since the second differences are constant, we know that the data can be modeled by a quadratic function.