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Sine & Cosine Functions
Input | Plot A: sin(x) Plot B: cos(x) |
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Range | 0; 2pi |
Angle Mode | Radians |
No. Points | 100 |
Notes |
Square Wave with Random Noise
Input | SIGN(sin(x)) + 0.2 * Ran# - 0.1 |
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Range | 0; 3 |
Angle Mode | Cycles |
No. Points | 100 |
Notes | The SIGN function converts sine into a square wave, while Ran# adds "noise". The noise will change each time you plot the function. |
Asymptote
Input | 1 / x |
---|---|
Range | -10; +10 |
Angle Mode | N/A |
Interval | 0.5 |
Notes | Use "Interval", not "No. Points" so as to create a discontinuity at x = 0 (i.e. 1 / 0 -> INFINITY). |
Total Daylight Hours in London (Plot A) & New York (Plot B) throughout the Year
Input | Plot A: x DLHRS 51.53 Plot B: x DLHRS 40.78 |
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Range | 1; 365 |
Angle Mode | Degrees |
No. Points | 100 |
Notes | The y-axis indicates the total hours of daylight throughout the year
for London and New York. The x-axis is the day number.
Plot A:
London (latitude 51.53) DLHRS returns the number of daylight hours given a day-of-year and latitude, where: (doy) DLHRS (latitude). You can replace the latitude in the formula with your own. For more information about the DLHRS function. |
Equation of Time
Input | 9.87 * sin (2 * 360 * (x - 81) / 364) - 7.53 * cos (360 * (x - 81) / 364) - 1.5 * sin (360 * (x - 81) / 364) |
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Range | 1; 365 |
Angle Mode | Degrees |
No. Points | 100 |
Notes | The "equation of time" approximates the difference between the apparent time and mean time (i.e. between solar noon and noon on the clock) throughout the year. The difference is due to a combination of the obliquity of the Earth's rotation axis and the eccentricity of its orbit. |
Polar Chart
Input | exp(cos(x)) - 2 * cos(4*x) + sin(x/12) |
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Range | 1; 12pi |
Angle Mode | Radians |
No. Points | 2000 |
Notes | Enter the above equation and select: Axes->Polar Plot. |
Histogram Chart in Standard Data Mode
Mode | Standard Data (SD) |
---|---|
Chart | Histogram (Auto) |
Data (Val, Fq) | (5, 1) (15, 3) (25, 8) (35, 18) (45, 24) (55, 22) (65, 15) (75, 8) (85, 0) (95, 1) |
Cashflow Chart (Professional Edition Only)
Mode | Any - cashflows are independent. |
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Chart | Cashflow |
Cashflow | -2000, 3232, 7000, 9535, 13500, 21543, 12545, 18232, 11033, 7543, 5075 |
This is an exercise where we will use the Function Grapher to generate a quadratic equation plot and export the data points to the X-Y list. We will then plot the X-Y list points with a quadratic line of best fit and determine the coefficient values used to originally create the graph.
1. To begin, put the calculator into Quadratic X-Y mode, i.e. select:
Mode->Quadratic Regression Mode.
2. Go to the Function Grapher, i.e. Chart->Function Grapher.
3. Important: Check the Output to X-Y List box.
Quadratic Plot with Minimal Three Points
Input | 1.2x^2 - 3x + 5 |
---|---|
Range | -2; +4 |
Angle Mode | N/A |
No. Points | 3 |
Notes | We have chosen only 3 points because that is the minimum needed for quadratic regression, but you may use more if you wish. |
5. Switch from the Function Grapher to an X-Y plot, i.e. select:
Chart->Scatter Points.
6. Ensure that the Chart->Show Regression Fit menu option is checked.
Quadratic Regression Plot
If the information at the bottom of chart is not visible, select: View->Show Footer.
Here we can that see our original quadratic equation has been determined from the points in the X-Y list, as described by the coefficients values: +1.2, -3, +5 respectively.
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