Use the arrow keys to navigate to the right of each equal sign (=) and clear them.
Repeat until all equations are deleted.
To draw default histogram:
Access the ZOOM menu.
Select
<9:ZoomStat> .
The histogram will show with a window automatically set.
To draw custom histogram:
Access window mode to set the graph parameters.
${X}_{\mathrm{min}}=\mathrm{\u20132.5}$
${X}_{\mathrm{max}}=3.5$
${X}_{scl}=1$ (width of bars)
${Y}_{\mathrm{min}}=0$
${Y}_{\mathrm{max}}=10$
${Y}_{scl}=1$ (spacing of tick marks on
y -axis)
${X}_{res}=1$
Access graphing mode to see the histogram.
To draw box plots:
Access graphing mode.
,
[STAT PLOT]
Select
<1:Plot 1> to access the first graph.
Use the arrows to select
<ON> and turn on Plot 1.
Use the arrows to select the box plot picture and enable it.
Use the arrows to navigate to
<Xlist> .
If "L1" is not selected, select it.
,
[L1] ,
Use the arrows to navigate to
<Freq> .
Indicate that the frequencies are in
[L2] .
,
[L2] ,
Go back to access other graphs.
,
[STAT PLOT]
Be sure to deselect or clear all equations before graphing using the method mentioned above.
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:
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:
ON Turns calculator on.
Before accessing this program, be sure to turn off all plots.
Access graphing mode.
,
[STAT PLOT]
Turn off all plots.
,
Round to three 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 three decimal places until changed.
Enter statistics mode and clear lists
[L1] and
[L2] , as describe previously.
,
Enter editing mode to insert values for
x and
y .
,
Enter each value. Press
to continue.
To display the correlation coefficient:
Access the catalog.
,
[CATALOG]
Arrow down and select
<DiagnosticOn> ... ,
,
$r$ and
$r^{2}$ will be displayed during regression calculations.
Access linear regression.
Select the form of
y =
a +
bx .
,
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:
Access graphing mode.
,
[STAT PLOT]
Select
<1:plot 1> To access plotting - first graph.
Navigate and select
<ON> to turn on Plot 1.
<ON>
Navigate to the first picture.
Select the scatter plot.
Navigate to
<Xlist> .
If
[L1] is not selected, press
,
[L1] to select it.
Confirm that the data values are in
[L1] .
<ON>
Navigate to
<Ylist> .
Select that the frequencies are in
[L2] .
,
[L2] ,
Go back to access other graphs.
,
[STAT PLOT]
Use the arrows to turn off the remaining plots.
Access window mode to set the graph parameters.
${X}_{\mathrm{min}}=1970$
${X}_{\mathrm{max}}=2000$
${X}_{scl}=10$ (spacing of tick marks on
x -axis)
${Y}_{\mathrm{min}}=-0.05$
${Y}_{\mathrm{max}}=60$
${Y}_{scl}=10$ (spacing of tick marks on
y -axis)
${X}_{res}=1$
Be sure to deselect or clear all equations before graphing, using the instructions above.
Press the graph button to see the scatter plot.
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.
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
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
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
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