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To deselect equations:

  1. Access the list of equations.
    Y= key

  2. Select each equal sign (=).
    arrow down key arrow right key enter key

  3. Continue, until all equations are deselected.

To clear equations:

  1. Access the list of equations.
    Y= key

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

  3. Repeat until all equations are deleted.

To draw default histogram:

  1. Access the ZOOM menu.
    ZOOM key

  2. Select <9:ZoomStat> .
    number 9 key

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

To draw custom histogram:

  1. Access window mode to set the graph parameters.
    window key
    • X min = –2.5
    • X max = 3.5
    • X s c l = 1 (width of bars)
    • Y min = 0
    • Y max = 10
    • Y s c l = 1 (spacing of tick marks on y -axis)
    • X r e s = 1
  2. Access graphing mode to see the histogram.
    graph key

To draw box plots:

  1. Access graphing mode.
    2nd key , [STAT PLOT]

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

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

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

  5. Use the arrows to navigate to <Xlist> .
  6. If "L1" is not selected, select it.
    2nd key , [L1] , enter key

  7. Use the arrows to navigate to <Freq> .
  8. Indicate that the frequencies are in [L2] .
    2nd key , [L2] , enter key

  9. Go back to access other graphs.
    2nd key , [STAT PLOT]

  10. Be sure to deselect or clear all equations before graphing using the method mentioned above.
  11. View the box plot.
    graph key , [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:

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

Student ethnic minority percentage

This is a scatterplot for the data provided. Year is plotted on the horizontal axis and percent is plotted on the vertical axis. The points show a strong, curved, upward trend.
By hand, verify the scatterplot above.

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. ON Turns calculator on.
    on key

  2. Before accessing this program, be sure to turn off all plots.
    • Access graphing mode.
      2nd key , [STAT PLOT]

    • Turn off all plots.
      number 4 key , enter key

  3. Round to three decimal places. To do so:
    • Access the mode menu.
      mode key , [STAT PLOT]

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

    • All numbers will be rounded to three decimal places until changed.
      enter key

  4. Enter statistics mode and clear lists [L1] and [L2] , as describe previously.
    stat key , number 4 key

  5. Enter editing mode to insert values for x and y .
    stat key , enter key

  6. Enter each value. Press enter key to continue.

To display the correlation coefficient:

  1. Access the catalog.
    2nd key , [CATALOG]

  2. Arrow down and select <DiagnosticOn>
    arrow down key ... , enter key , enter key

  3. r and r 2 will be displayed during regression calculations.
  4. Access linear regression.
    stat key arrow right key

  5. Select the form of y = a + bx .
    number 8 key , enter key


The display will show:

Linreg

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


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

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

To see the scatter plot:

  1. Access graphing mode.
    2nd key , [STAT PLOT]

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

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

  4. Navigate to the first picture.
  5. Select the scatter plot.
    enter key

  6. Navigate to <Xlist> .
  7. If [L1] is not selected, press 2nd key , [L1] to select it.
  8. Confirm that the data values are in [L1] .
    <ON> enter key

  9. Navigate to <Ylist> .
  10. Select that the frequencies are in [L2] .
    2nd key , [L2] , enter key

  11. Go back to access other graphs.
    2nd key , [STAT PLOT]

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

Questions & Answers

IMAGESNEWSVIDEOS A Dictionary of Computing. measures of location Quantities that represent the average or typical value of a random variable (compare measures of variation). They are either properties of a probability distribution or computed statistics of a sample. Three important measures are the mean, median, and mode.
Ahmed Reply
define the measures of location
Kaynaat Reply
IMAGESNEWSVIDEOS A Dictionary of Computing. measures of location Quantities that represent the average or typical value of a random variable (compare measures of variation). They are either properties of a probability distribution or computed statistics of a sample. Three important measures are th
Ahmed
what is confidence interval estimate and its formula in getting it
Jhezarie Reply
discuss the roles of vital and health statistic in the planning of health service of the community
BITRUS Reply
given that the probability of
BITRUS
can man city win Liverpool ?
Emmanuel Reply
There are two coins on a table. When both are flipped, one coin land on heads eith probability 0.5 while the other lands on head with probability 0.6. A coin is randomly selected from the table and flipped. (a) what is probability it lands on heads? (b) given that it lands on tail, what is the Condi
Nusrat Reply
0.5*0.5+0.5*0.6
Ravasz
what is gradient descent?
Saurav Reply
It should be a Machine learning terms。
Mok
it is a term used in linear regression
Saurav
what are the differences between standard deviation and variancs?
Enhance
what is statistics
Emmanuel Reply
statistics is the collection and interpretation of data
Enhance
the science of summarization and description of numerical facts
Enhance
Is the estimation of probability
Zaini
mr. zaini..can u tell me more clearly how to calculated pair t test
Haai
do you have MG Akarwal Statistics' book Zaini?
Enhance
Haai how r u?
Enhance
maybe .... mathematics is the science of simplification and statistics is the interpretation of such values and its implications.
Miguel
can we discuss about pair test
Haai
what is outlier?
Usama Reply
outlier is an observation point that is distant from other observations.
Gidigah
what is its effect on mode?
Usama
Outlier  have little effect on the mode of a given set of data.
Gidigah
How can you identify a possible outlier(s) in a data set.
Daniel
The best visualisation method to identify the outlier is box and wisker method or boxplot diagram. The points which are located outside the max edge of wisker(both side) are considered as outlier.
Akash
@Daniel Adunkwah - Usually you can identify an outlier visually. They lie outside the observed pattern of the other data points, thus they're called outliers.
Ron
what is completeness?
Muhammad
I am new to this. I am trying to learn.
Dom
I am also new Dom, welcome!
Nthabi
thanks
Dom
please my friend i want same general points about statistics. say same thing
alex
outliers do not have effect on mode
Meselu
also new
yousaf
I don't get the example
Hadekunle Reply
ways of collecting data at least 10 and explain
Ridwan Reply
Example of discrete variable
Bada Reply
sales made monthly.
Gbenga
I am new here, can I get someone to guide up?
alayo
dies outcome is 1, 2, 3, 4, 5, 6 nothing come outside of it. it is an example of discrete variable
jainesh
continue variable is any value value between 0 to 1 it could be 4digit values eg 0.1, 0.21, 0.13, 0.623, 0.32
jainesh
How to answer quantitative data
Alhassan Reply
hi
Kachalla
what's up here ... am new here
Kachalla
sorry question a bit unclear...do you mean how do you analyze quantitative data? If yes, it depends on the specific question(s) you set in the beginning as well as on the data you collected. So the method of data analysis will be dependent on the data collecter and questions asked.
Bheka
how to solve for degree of freedom
saliou
Quantitative data is the data in numeric form. For eg: Income of persons asked is 10,000. This data is quantitative data on the other hand data collected for either make or female is qualitative data.
Rohan
*male
Rohan
Degree of freedom is the unconditionality. For example if you have total number of observations n, and you have to calculate variance, obviously you will need mean for that. Here mean is a condition, without which you cannot calculate variance. Therefore degree of freedom for variance will be n-1.
Rohan
data that is best presented in categories like haircolor, food taste (good, bad, fair, terrible) constitutes qualitative data
Bheka
vegetation types (grasslands, forests etc) qualitative data
Bheka
I don't understand how you solved it can you teach me
Caleb Reply
solve what?
Ambo
mean
Vanarith
What is the end points of a confidence interval called?
ZIMKHITHA Reply
lower and upper endpoints
Bheka

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Source:  OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18
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