example 2

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example 2 Starbucks Stores Chapter 3.4 The table gives the number of Starbucks stores in the United States for the years 1992 through 2007. a. Create a scatter plot of the data points, with x equal to the number of years after 1990. b. Create a quadratic function that models the data, using the number of years after 1990 as the input x. c. Graph the aligned data and the quadratic function on the same axes. Does this model seem like a reasonable fit? 2009 PBLPathways Year Starbuc ks Stores Year Starbuc ks Stores 1992 113 2000 2119 1993 163 2001 2925 1994 264 2002 3756 1995 430 2003 4453 1996 663 2004 5452 1997 974 2005 6423 1998 1321 2006 7715 1999 1657 2007 9401

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example 2. Starbucks Stores. Chapter 3.4. The table gives the number of Starbucks stores in the United States for the years 1992 through 2007. Create a scatter plot of the data points, with x equal to the number of years after 1990. - PowerPoint PPT Presentation

Transcript of example 2

Page 1: example 2

example 2 Starbucks Stores

Chapter 3.4

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

a. Create a scatter plot of the data points, with x equal to the number of years after 1990.

b. Create a quadratic function that models the data, using the number of years after 1990 as the input x.

c. Graph the aligned data and the quadratic function on the same axes. Does this model seem like a reasonable fit?

2009 PBLPathways

YearStarbucks

StoresYear

Starbucks Stores

1992 113 2000 2119

1993 163 2001 2925

1994 264 2002 3756

1995 430 2003 4453

1996 663 2004 5452

1997 974 2005 6423

1998 1321 2006 7715

1999 1657 2007 9401

Page 2: example 2

2009 PBLPathways

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

YearStarbucks

StoresYear

Starbucks Stores

1992 113 2000 2119

1993 163 2001 2925

1994 264 2002 3756

1995 430 2003 4453

1996 663 2004 5452

1997 974 2005 6423

1998 1321 2006 7715

1999 1657 2007 9401

a. Create a scatter plot of the data points, with x equal to the number of years after 1990.

b. Create a quadratic function that models the data, using the number of years after 1990 as the input x.

c. Graph the aligned data and the quadratic function on the same axes. Does this model seem like a reasonable fit?

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2009 PBLPathways

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

YearStarbucks

StoresYear

Starbucks Stores

1992 113 2000 2119

1993 163 2001 2925

1994 264 2002 3756

1995 430 2003 4453

1996 663 2004 5452

1997 974 2005 6423

1998 1321 2006 7715

1999 1657 2007 9401

d. Use the model to estimate the number of stores in 2006. Is the estimate close to the actual number?

e. Use the model to estimate the number of stores in 2010. Discuss the reliability of this estimate.

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2009 PBLPathways

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

YearStarbucks

StoresYear

Starbucks Stores

1992 113 2000 2119

1993 163 2001 2925

1994 264 2002 3756

1995 430 2003 4453

1996 663 2004 5452

1997 974 2005 6423

1998 1321 2006 7715

1999 1657 2007 9401

a. Create a scatter plot of the data points, with x equal to the number of years after 1990.

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2009 PBLPathways

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

Years after 1990

Starbucks Stores

Years after 1990

Starbucks Stores

2 113 10 2119

3 163 11 2925

4 264 12 3756

5 430 13 4453

6 663 14 5452

7 974 15 6423

8 1321 16 7715

9 1657 17 9401

a. Create a scatter plot of the data points, with x equal to the number of years after 1990.

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2009 PBLPathways

The table gives the number of Starbucks stores in the United States for the years 1992through 2007.

a. Create a scatter plot of the data points, with x equal to the number of years after 1990.

Years after 1990

Starbucks Stores

Years after 1990

Starbucks Stores

2 113 10 2119

3 163 11 2925

4 264 12 3756

5 430 13 4453

6 663 14 5452

7 974 15 6423

8 1321 16 7715

9 1657 17 9401

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b. Create a quadratic function that models the data, using the number of years after 1990 as the input x.

248.278 334.702 785.961y x x

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b. Create a quadratic function that models the data, using the number of years after 1990 as the input x.

248.278 334.702 785.961y x x

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c. Graph the aligned data and the quadratic function on the same axes. Does this model seem like a reasonable fit?

248.278 334.702 785.961y x x

x

y

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d. Use the model to estimate the number of stores in 2006. Is the estimate close to the actual number?

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

(16, 7715)

248.278 16 334.702 16 785.961

7789.9

y

x

y

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d. Use the model to estimate the number of stores in 2006. Is the estimate close to the actual number?

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

(16, 7715)

248.278 16 334.702 16 785.961

7789.9

y

x

y

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d. Use the model to estimate the number of stores in 2006. Is the estimate close to the actual number?

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

(16, 7715)

248.278 16 334.702 16 785.961

7789.9

y

x

y

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2009 PBLPathways

d. Use the model to estimate the number of stores in 2006. Is the estimate close to the actual number?

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

(16, 7715)

248.278 16 334.702 16 785.961

7789.9

y

x

y

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e. Use the model to estimate the number of stores in 2010. Discuss the reliability of this estimate.

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

248.278 20 334.702 20 785.961

13,403

y

x

y

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e. Use the model to estimate the number of stores in 2010. Discuss the reliability of this estimate.

248.278 334.702 785.961y x x

248.278 16 334.702 16 785.961

7789.9

y

248.278 20 334.702 20 785.961

13,403

y

x

y

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Enter the data

1.To enter the data, press .

2.Under the EDIT menu, press 1 or

hightlight 1: Edit... to enter the statistics

editor.

3.In the first column, enter the aligned

data for the years after 1990. After each

row, press or to go to the next line. The

data in the column are referred to as list 1

or L1.

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4. After the last year, press to go to the

second column.

5. In the second column, enter the

number of Starbucks stores followed

by or to go to the next row. The

data in the column are referred to as

list 2 or L2.

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6. After you have entered all of the

numbers, check to insure that each

year has a corresponding number of

stores. To the right, you’ll notice that

each column has the same number of

data. If the numbers of data in the

columns don’t match, you’ll get an

error when you graph the scatter plot.

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Set up the scatter plot

7.Press .

8.To accommodate the data we just

entered, modify the window so it appears

like the one to the right.

9.Now we need to turn on the scatter plot.

Press to enter the STAT PLOT menu.

There are three statistical plots on your

calculator that you can plot your data on.

To select Plot 1, press .

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10. In the Plot 1 menu, move your cursor

around this menu using , , , and .

Make sure that Plot 1 is turned on by

pressing when the cursor is over On.

11. Make sure the type is highlighted as a

scatter plot as shown to the right.

12. Under Xlist and Ylist, make sure that

L1 and L2 appears. If not, move the

cursor to Xlist and press or move

the cursor to Ylist and press .

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13. Highlight one of the options for Mark

and press . This is the mark that will

be plotted in the scatter plot.

14. Press to see the scatter plot. If any

other graphs appear on the scatter plot,

you may have to clear them from the

equation editor by pressing . To clear

an equation, move the cursor to the

equation’s line and press .

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Find the quadratic model

15.Press to enter the statistics menu.

16.Use to highlight CALC along the top

of the screen.

17.Press 5 or highlight 5: QuadReg and

press . The QuadReg command will be

pasted to the home screen.

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18. We need to supply the calculator with

the lists we are finding a quadratic

model for. Press to supply the

names of the lists separated by

commas.

19. The final argument we want to enter is

the location the model will be placed

in the equation editor. Press .

20. Move the cursor to Y-VARS using the

button.

21. Press 1 or highlight 1: Function…

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22. Highlight the location in the equation

editor you want to paste to and press .

23. If you highlighted Y1 above, it will be

pasted to the home screen at the end of

the QuadReg command. This

command calculates the quadratic

model of the data in lists L1 and L2 and

pastes the equation into Y1.

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24. Press to calculate the model.

25. Press to see the data and the

corresponding quadratic model.

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Generate values from the model

26.Press to set up a table for the model.

TblStart and Tbl are not important, but

make sure Ask is highlight next to Indpnt

by moving the cursor and pressing .

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27. Press .

28. In the X column, type to

generate the corresponding y values

from the model in Y1. These values

estimate the number of Starbucks

stores in 2006 and 2010 according to

the quadratic model.