Lesson 4
1. Lesson 4
1.4. Discover
Module 6: Sinusoidal Functions
Discover
Try This 1
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In this part of the world, summer days have more hours of daylight and winter days have fewer hours of daylight. But does the number of hours of daylight follow a particular pattern? Consider the following information.
Date |
Hours of Daylight in Medicine Hat |
January 31 |
9.1 |
February 28 |
10.7 |
March 31 |
12.7 |
April 30 |
14.5 |
May 31 |
15.8 |
June 30 |
16.1 |
July 31 |
15.1 |
August 31 |
13.3 |
September 30 |
11.5 |
October 31 |
9.7 |
November 30 |
8.2 |
December 31 |
7.9 |
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- Explain any patterns you see from the chart about daylight hours.
- What do you think the data will be like in the following year?
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- Create a scatter plot of this data with the month on the x-axis and the hours of daylight on the y-axis.
- Draw a curve of best fit for the data.
- How would you describe the shape of your curve of best fit? Explain.
- How well does the curve of best fit represent your points?
- Assume the data followed the same pattern and continued for multiple years. Estimate the period, amplitude, and midline. What does each period, amplitude, and midline represent in the context of the given data?
Save your responses in your course folder.
Share 1
With a partner or in a group, discuss the following questions based on your graphs created in Try This 1.
- Is it reasonable to use the curve of best fit to predict the hours of daylight on February 19 of this year? How about February 19 seven years from now?
- When graphing the data, you assumed each month was the same length, but this is not true. Comment on how much you expect this simplification to affect your graph.
If required, save a record of your discussion in your course folder.
A curve of best fit is like a line of best fit but isn’t necessarily straight. This is typically a gentle curve that approximates the data.