# OpenStax_CNX

You are here: Home » Content » Collaborative Statistics: Notes for the TI-83, 83+, 84 Calculator

### Lenses

What is a lens?

#### Definition of a lens

##### Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

##### What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

##### Who can create a lens?

Any individual member, a community, or a respected organization.

##### What are tags?

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

#### Endorsed by (What does "Endorsed by" mean?)

This content has been endorsed by the organizations listed. Click each link for a list of all content endorsed by the organization.
• College Open Textbooks

This module is included inLens: Community College Open Textbook Collaborative
By: CC Open Textbook CollaborativeAs a part of collection: "Collaborative Statistics"

"Reviewer's Comments: 'I recommend this book. Overall, the chapters are very readable and the material presented is consistent and appropriate for the course. A wide range of exercises introduces […]"

Click the "College Open Textbooks" link to see all content they endorse.

Click the tag icon to display tags associated with this content.

• JVLA Endorsed

This module is included inLens: Jesuit Virtual Learning Academy Endorsed Material
By: Jesuit Virtual Learning AcademyAs a part of collection: "Collaborative Statistics"

"This is a robust collection (textbook) approved by the College Board as a resource for the teaching of AP Statistics. "

Click the "JVLA Endorsed" link to see all content they endorse.

• WebAssign

This module is included inLens: WebAssign The Independent Online Homework and Assessment Solution
By: WebAssignAs a part of collection: "Collaborative Statistics"

"Online homework and assessment available from WebAssign."

Click the "WebAssign" link to see all content they endorse.

Click the tag icon to display tags associated with this content.

#### Affiliated with (What does "Affiliated with" mean?)

This content is either by members of the organizations listed or about topics related to the organizations listed. Click each link to see a list of all content affiliated with the organization.
• OrangeGrove

This module is included inLens: Florida Orange Grove Textbooks
By: Florida Orange GroveAs a part of collection: "Collaborative Statistics"

Click the "OrangeGrove" link to see all content affiliated with them.

Click the tag icon to display tags associated with this content.

• Bookshare

This module is included inLens: Bookshare's Lens
By: Bookshare - A Benetech InitiativeAs a part of collection: "Collaborative Statistics"

"DAISY and BRF versions of this collection are available."

Click the "Bookshare" link to see all content affiliated with them.

• Featured Content

This module is included inLens: Connexions Featured Content
By: ConnexionsAs a part of collection: "Collaborative Statistics"

"Collaborative Statistics was written by two faculty members at De Anza College in Cupertino, California. This book is intended for introductory statistics courses being taken by students at two- […]"

Click the "Featured Content" link to see all content affiliated with them.

Click the tag icon to display tags associated with this content.

#### Also in these lenses

• statistics

This module is included inLens: Statistics
By: Brylie OxleyAs a part of collection: "Collaborative Statistics"

Click the "statistics" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

• Lucy Van Pelt

This module is included inLens: Lucy's Lens
By: Tahiya MaromeAs a part of collection: "Collaborative Statistics"

"Part of the Books featured on Community College Open Textbook Project"

Click the "Lucy Van Pelt" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

• Educational Technology Lens

This module is included inLens: Educational Technology
By: Steve WilhiteAs a part of collection: "Collaborative Statistics"

Click the "Educational Technology Lens" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

• Statistics

This module is included inLens: Mathieu Plourde's Lens
By: Mathieu PlourdeAs a part of collection: "Collaborative Statistics"

Click the "Statistics" link to see all content selected in this lens.

• statf12

This module is included inLens: Statistics Fall 2012
By: Alex KolesnikAs a part of collection: "Collaborative Statistics"

Click the "statf12" link to see all content selected in this lens.

• UTEP

This module is included inLens: Amy Wagler's Lens
By: Amy WaglerAs a part of collection: "Collaborative Statistics"

Click the "UTEP" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

• Make Textbooks Affordable

This module is included inLens: Make Textbooks Affordable
By: Nicole AllenAs a part of collection: "Collaborative Statistics"

Click the "Make Textbooks Affordable" link to see all content selected in this lens.

• BUS204 Homework

This module is included inLens: Saylor BUS 204 Homework
By: David BourgeoisAs a part of collection: "Collaborative Statistics"

"Homework for Discrete Variables/Probability. "

Click the "BUS204 Homework" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

• crowe

This module is included in aLens by: Chris RoweAs a part of collection: "Collaborative Statistics"

Click the "crowe" link to see all content selected in this lens.

• Bio 502 at CSUDH

This module is included inLens: Bio 502
By: Terrence McGlynnAs a part of collection: "Collaborative Statistics"

"This is the course textbook for Biology 502 at CSU Dominguez Hills"

Click the "Bio 502 at CSUDH" link to see all content selected in this lens.

Click the tag icon to display tags associated with this content.

### Recently Viewed

This feature requires Javascript to be enabled.

### Tags

(What is a tag?)

These tags come from the endorsement, affiliation, and other lenses that include this content.

# Collaborative Statistics: Notes for the TI-83, 83+, 84 Calculator

Summary: Notes and tips for using TI-83, TI-83+, and TI-84 calculators for statistics applications.

## Quick Tips

### Legend

• represents a button press
• [ ] represents yellow command or green letter behind a key
• < > represents items on the screen

### To adjust the contrast

Press , then hold to increase the contrast or to decrease the contrast.

### To capitalize letters and words

Press to get one capital letter, or press , then to set all button presses to capital letters. You can return to the top-level button values by pressing again.

### To correct a mistake

If you hit a wrong button, just hit and start again.

### To write in scientific notation

Numbers in scientific notation are expressed on the TI-83, 83+, and 84 using E notation, such that...

• 4.321 E 4 = 4.321×104 4.321 10 4
• 4.321 E -4 = 4.321×104 4.321 10 4

### To transfer programs or equations from one calculator to another:

Both calculators: Insert your respective end of the link cable cable and press , then [LINK].

#### Calculator receiving information:

1. Step 1. Use the arrows to navigate to and select <RECEIVE>
2. Step 2. Press

#### Calculator sending information:

1. Step 1. Press appropriate number or letter.
2. Step 2. Use up and down arrows to access the appropriate item.
3. Step 3. Press to select item to transfer.
4. Step 4. Press right arrow to navigate to and select <TRANSMIT>.
5. Step 5. Press

#### Note:

ERROR 35 LINK generally means that the cables have not been inserted far enough.
Both calculators: Insert your respective end of the link cable cable Both calculators: press , then [QUIT] To exit when done.

## Manipulating One-Variable Statistics

### Note:

These directions are for entering data with the built-in statistical program.
Table 1: Sample Data
We are manipulating 1-variable statistics.
Data Frequency
-2 10
-1 3
0 4
1 5
3 8

### To begin:

1. Step 1. Turn on the calculator.

2. Step 2. Access statistics mode.

3. Step 3. Select <4:ClrList> to clear data from lists, if desired.

,

4. Step 4. Enter list [L1] to be cleared.

, [L1] ,

5. Step 5. Display last instruction.

, [ENTRY]

6. Step 6. Continue clearing remaining lists in the same fashion, if desired.

, , [L2] ,

7. Step 7. Access statistics mode.

8. Step 8. Select <1:Edit . . .>

9. Step 9. Enter data. Data values go into [L1]. (You may need to arrow over to [L1])
• Type in a data value and enter it. (For negative numbers, use the negate (-) key at the bottom of the keypad)

, ,

• Continue in the same manner until all data values are entered.
10. Step 10. In [L2], enter the frequencies for each data value in [L1].
• Type in a frequency and enter it. (If a data value appears only once, the frequency is "1")

,

• Continue in the same manner until all data values are entered.
11. Step 11. Access statistics mode.

12. Step 12. Navigate to <CALC>
13. Step 13. Access <1:1-var Stats>

14. Step 14. Indicate that the data is in [L1]...

, [L1] ,

15. Step 15. ...and indicate that the frequencies are in [L2].

, [L2] ,

16. Step 16. The statistics should be displayed. You may arrow down to get remaining statistics. Repeat as necessary.

## Drawing Histograms

### Note:

We will assume that the data is already entered

We will construct 2 histograms with the built-in STATPLOT application. The first way will use the default ZOOM. The second way will involve customizing a new graph.

1. Step 1. Access graphing mode.

, [STAT PLOT]

2. Step 2. Select <1:plot 1> To access plotting - first graph.

3. Step 3. Use the arrows navigate go to <ON> to turn on Plot 1.

<ON> ,

4. Step 4. Use the arrows to go to the histogram picture and select the histogram.
5. Step 5. Use the arrows to navigate to <Xlist>
6. Step 6. If "L1" is not selected, select it.

, [L1] ,

7. Step 7. Use the arrows to navigate to <Freq>.
8. Step 8. Assign the frequencies to [L2].

, [L2] ,

9. Step 9. Go back to access other graphs.

, [STAT PLOT]

10. Step 10. Use the arrows to turn off the remaining plots.
11. Step 11. Be sure to deselect or clear all equations before graphing.

### To deselect equations:

1. Step 1. Access the list of equations.

2. Step 2. Select each equal sign (=).

3. Step 3. Continue, until all equations are deselected.

### To clear equations:

1. Step 1. Access the list of equations.

2. Step 2. Use the arrow keys to navigate to the right of each equal sign (=) and clear them.

3. Step 3. Repeat until all equations are deleted.

### To draw default histogram:

1. Step 1. Access the ZOOM menu.

2. Step 2. Select <9:ZoomStat>

3. Step 3. The histogram will show with a window automatically set.

### To draw custom histogram:

1. Step 1. Access to set the graph parameters.
2. Step 2.
• X min =2.5 X min 2.5
• X max =3.5 X max 3.5
• X scl =1 X scl 1 (width of bars)
• Y min =0 Y min 0
• Y max =10 Y max 10
• Y scl =1 Y scl 1 (spacing of tick marks on y-axis)
• X res =1 X res 1
3. Step 3. Access to see the histogram.

### To draw box plots:

1. Step 1. Access graphing mode.

, [STAT PLOT]

2. Step 2. Select <1:Plot 1> to access the first graph.

3. Step 3. Use the arrows to select <ON> and turn on Plot 1.

4. Step 4. Use the arrows to select the box plot picture and enable it.

5. Step 5. Use the arrows to navigate to <Xlist>
6. Step 6. If "L1" is not selected, select it.

, [L1] ,

7. Step 7. Use the arrows to navigate to <Freq>.
8. Step 8. Indicate that the frequencies are in [L2].

, [L2] ,

9. Step 9. Go back to access other graphs.

, [STAT PLOT]

10. Step 10. Be sure to deselect or clear all equations before graphing using the method mentioned above.
11. Step 11. View the box plot.

, [STAT PLOT]

## Linear Regression

### Sample Data

The following data is real. The percent of declared ethnic minority students at De Anza College for selected years from 1970 - 1995 was:

Table 2: The independent variable is "Year," while the independent variable is "Student Ethnic Minority Percent."
Year Student Ethnic Minority Percentage
1970 14.13
1973 12.27
1976 14.08
1979 18.16
1982 27.64
1983 28.72
1986 31.86
1989 33.14
1992 45.37
1995 53.1

#### Note:

The TI-83 has a built-in linear regression feature, which allows the data to be edited.The x-values will be in [L1]; the y-values in [L2].

#### To enter data and do linear regression:

1. Step 1. ON Turns calculator on

2. Step 2. Before accessing this program, be sure to turn off all plots.
• Access graphing mode.

, [STAT PLOT]

• Turn off all plots.

,

3. Step 3. Round to 3 decimal places. To do so:
• Access the mode menu.

, [STAT PLOT]

• Navigate to <Float> and then to the right to <3>.

• All numbers will be rounded to 3 decimal places until changed.

4. Step 4. Enter statistics mode and clear lists [L1] and [L2], as describe above.

,

5. Step 5. Enter editing mode to insert values for x and y.

,

6. Step 6. Enter each value. Press to continue.

#### To display the correlation coefficient:

1. Step 1. Access the catalog.

, [CATALOG]

2. Step 2. Arrow down and select <DiagnosticOn>

... , ,

3. Step 3. r r and r2 r 2 will be displayed during regression calculations.
4. Step 4. Access linear regression.

5. Step 5. Select the form of y=a+bx y a b x

,

The display will show:

#### LinReg

• y=a+bx y a b x
• a=3176.909 a 3176.909
• b=1.617 b 1.617
• r2=0.924 r 2 0.924
• r=0.961 r 0.961

This means the Line of Best Fit (Least Squares Line) is:

• y=3176.909+1.617x y 3176.909 1.617 x
• Percent=3176.909+1.617(year #) Percent 3176.909 1.617 (year #)
The correlation coefficient r=0.961 r 0.961

#### To see the scatter plot:

1. Step 1. Access graphing mode.

, [STAT PLOT]

2. Step 2. Select <1:plot 1> To access plotting - first graph.

3. Step 3. Navigate and select <ON> to turn on Plot 1.

<ON>

4. Step 4. Navigate to the first picture.
5. Step 5. Select the scatter plot.

6. Step 6. Navigate to <Xlist>
7. Step 7. If [L1] is not selected, press , [L1] to select it.
8. Step 8. Confirm that the data values are in [L1].

<ON>

9. Step 9. Navigate to <Ylist>
10. Step 10. Select that the frequencies are in [L2].

, [L2] ,

11. Step 11. Go back to access other graphs.

, [STAT PLOT]

12. Step 12. Use the arrows to turn off the remaining plots.
13. Step 13. Access to set the graph parameters.
• X min =1970 X min 1970
• X max =2000 X max 2000
• X scl =10 X scl 10 (spacing of tick marks on x-axis)
• Y min =0.05 Y min 0.05
• Y max =60 Y max 60
• Y scl =10 Y scl 10 (spacing of tick marks on y-axis)
• X res =1 X res 1
14. Step 14. Be sure to deselect or clear all equations before graphing, using the instructions above.
15. Step 15. Press to see the scatter plot.

#### To see the regression graph:

1. Step 1. Access the equation menu. The regression equation will be put into Y1.

2. Step 2. Access the vars menu and navigate to <5: Statistics>

,

3. Step 3. Navigate to <EQ>.
4. Step 4. <1: RegEQ> contains the regression equation which will be entered in Y1.

5. Step 5. Press . The regression line will be superimposed over scatter plot.

#### To see the residuals and use them to calculate the critical point for an outlier:

1. Step 1. Access the list. RESID will be an item on the menu. Navigate to it.

, [LIST], <RESID>

2. Step 2. Confirm twice to view the list of residuals. Use the arrows to select them.

,

3. Step 3. The critical point for an outlier is: 1.9VSSEn2 1.9 V SSE n 2 where:
• n n = number of pairs of data
• SSE SSE = sum of the squared errors
• residual2 residual 2
4. Step 4. Store the residuals in [L3].

, , [L3] ,

5. Step 5. Calculate the (residual)2n2 (residual) 2 n 2 . Note that n2=8 n 2 8

, [L3] , , ,

6. Step 6. Store this value in [L4].

, , [L4] ,

7. Step 7. Calculate the critical value using the equation above.

, , , , , [V] , , [LIST] , , , , [L4] , , ,

8. Step 8. Verify that the calculator displays: 7.642669563. This is the critical value.
9. Step 9. Compare the absolute value of each residual value in [L3] to 7.64 . If the absolute value is greater than 7.64, then the (x, y) corresponding point is an outlier. In this case, none of the points is an outlier.

#### To obtain estimates of y for various x-values:

There are various ways to determine estimates for "y". One way is to substitute values for "x" in the equation. Another way is to use the on the graph of the regression line.

## TI-83, 83+, 84 instructions for distributions and tests

### Distributions

Access DISTR (for "Distributions").

For technical assistance, visit the Texas Instruments website at http://www.ti.com and enter your calculator model into the "search" box.

#### Binomial Distribution

• binompdf(n,p,x) corresponds to P(X = x)
• binomcdf(n,p,x) corresponds to P(X ≤ x)
• To see a list of all probabilities for x: 0, 1, . . . , n, leave off the "x" parameter.

#### Poisson Distribution

• poissonpdf(λ,x) corresponds to P(X = x)
• poissoncdf(λ,x) corresponds to P(X ≤ x)

#### Continuous Distributions (general)

• uses the value -1EE99 for left bound
• uses the value 1EE99 for right bound

#### Normal Distribution

• normalpdf(x,μ,σ) yields a probability density function value (only useful to plot the normal curve, in which case "x" is the variable)
• normalcdf(left bound, right bound, μ,σ) corresponds to P(left bound < X < right bound)
• normalcdf(left bound, right bound) corresponds to P(left bound < Z < right bound) - standard normal
• invNorm(p,μ,σ) yields the critical value, k: P(X < k) = p
• invNorm(p) yields the critical value, k: P(Z < k) = p for the standard normal

#### Student-t Distribution

• tpdf(x,df) yields the probability density function value (only useful to plot the student-t curve, in which case "x" is the variable)
• tcdf(left bound, right bound, df) corresponds to P(left bound < t < right bound)

#### Chi-square Distribution

• Χ2pdf(x,df) yields the probability density function value (only useful to plot the chi2 curve, in which case "x" is the variable)
• Χ2cdf(left bound, right bound, df) corresponds to P(left bound < Χ2 < right bound)

#### F Distribution

• Fpdf(x,dfnum,dfdenom) yields the probability density function value (only useful to plot the F curve, in which case "x" is the variable)
• Fcdf(left bound,right bound,dfnum,dfdenom) corresponds to P(left bound < F < right bound)

### Tests and Confidence Intervals

Access STAT and TESTS.

For the Confidence Intervals and Hypothesis Tests, you may enter the data into the appropriate lists and press DATA to have the calculator find the sample means and standard deviations. Or, you may enter the sample means and sample standard deviations directly by pressing STAT once in the appropriate tests.

#### Confidence Intervals

• ZInterval is the confidence interval for mean when σ is known
• TInterval is the confidence interval for mean when σ is unknown; s estimates σ.
• 1-PropZInt is the confidence interval for proportion

#### Note:

The confidence levels should be given as percents (ex. enter "95" or ".95" for a 95% confidence level).

#### Hypothesis Tests

• Z-Test is the hypothesis test for single mean when σ is known
• T-Test is the hypothesis test for single mean when σ is unknown; s estimates σ.
• 2-SampZTest is the hypothesis test for 2 independent means when both σ's are known
• 2-SampTTest is the hypothesis test for 2 independent means when both σ's are unknown
• 1-PropZTest is the hypothesis test for single proportion.
• 2-PropZTest is the hypothesis test for 2 proportions.
• Χ2-Test is the hypothesis test for independence.
• Χ2GOF-Test is the hypothesis test for goodness-of-fit (TI-84+ only).
• LinRegTTEST is the hypothesis test for Linear Regression (TI-84+ only).

#### Note:

Input the null hypothesis value in the row below "Inpt." For a test of a single mean, "μ∅" represents the null hypothesis. For a test of a single proportion, "p∅" represents the null hypothesis. Enter the alternate hypothesis on the bottom row.

## Content actions

PDF | EPUB (?)

### What is an EPUB file?

EPUB is an electronic book format that can be read on a variety of mobile devices.

For detailed instructions on how to download this content's EPUB to your specific device, click the "(?)" link.

### Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

#### Definition of a lens

##### Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

##### What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

##### Who can create a lens?

Any individual member, a community, or a respected organization.

##### What are tags?

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks