HP 39GS hp 39gs_user's guide_English_E_HDPMG39AE13.pdf - Page 103

Statistics aplet, About the Statistics aplet, Getting started with the Statistics aplet

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10 Statistics aplet About the Statistics aplet The Statistics aplet can store up to ten data sets at one time. It can perform one-variable or two-variable statistical analysis of one or more sets of data. The Statistics aplet starts with the Numeric view which is used to enter data. The Symbolic view is used to specify which columns contain data and which column contains frequencies. You can also compute statistics values in HOME and recall the values of specific statistics variables. The values computed in the Statistics aplet are saved in variables, and many of these variables are listed by the function accessible from the Statistics aplet's Numeric view screen. Getting started with the Statistics aplet The following example asks you to enter and analyze the advertising and sales data (in the table below), compute statistics, fit a curve to the data, and predict the effect of more advertising on sales. Advertising minutes (independent, x) 2 1 3 5 5 4 Resulting Sales ($) (dependent, y) 1400 920 1100 2265 2890 2200 Statistics aplet 10-1

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Statistics aplet
10-1
10
Statistics aplet
About the Statistics aplet
The Statistics aplet can store up to ten data sets at one
time. It can perform one-variable or two-variable
statistical analysis of one or more sets of data.
The Statistics aplet starts with the Numeric view which is
used to enter data. The Symbolic view is used to specify
which columns contain data and which column contains
frequencies.
You can also compute statistics values in HOME and
recall the values of specific statistics variables.
The values computed in the Statistics aplet are saved in
variables, and many of these variables are listed by the
function accessible from the Statistics aplet’s
Numeric view screen.
Getting started with the Statistics aplet
The following example asks you to enter and analyze the
advertising and sales data (in the table below), compute
statistics, fit a curve to the data, and predict the effect of
more advertising on sales.
Advertising minutes
(independent, x)
Resulting Sales ($)
(dependent, y)
2
1400
1
920
3
1100
5
2265
5
2890
4
2200