SDG User Manual.pdf
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USER MANUAL
INDEX
Page
1.
11.
1.
- Introduction
Introduction
Introduction .......................
.......................
.. 2
. 2
......
..
.
3
......
..
How do I load onto your computer SDG ATARI?
How do I load onto your computer SDG ATARI?
2.
2.
- Variable EDITOR Module
Variable EDITOR Module ............... 3
22.
Variable EDITOR Module
............... 3
3.
3.
- Statistics descriptive Module
Statistics descriptive Module ........ 8
33.
Statistics descriptive Module
........ 8
4.
44.
4.
- Regression Module
Regression Module
................... 10
5.
55.
5.
- Andeva Module (design of experiments)
Andeva Module (design of experiments)
Andeva Module (design of experiments).12
.12
nts with complete randomization
.... 12
.... 12
a) Fixed Treatme
a) Fixed Treatments with complete randomization
nts with complete randomization
....................... 13
....................... 13
b) Model full block
c) Random Model with factorial structure
........ 13
........ 13
c) Random Model with factorial structure
6.
66.
6.
- Modules fo
Modules fo
Modules for graphics
r graphics
r graphics ................ 14
................ 14
7.
77.
7.
- Printing Module
Printing Module
Printing Module ..................... 14
..................... 14
8.
88.
8.
- Module for Files Edition
Module for Files Edition
Module for Files Edition ............ 14
............ 14
9.
99.
9.
- Summary commands in SDG
Summary commands in SDG
Summary commands in SDG ............. 16
............. 16
A
.
-
AN
AAN
ANNEXES
NEXES
NEXES ............................. 17
............................. 17
1
1.- Introduction
Graphs and statistics (SDG) is a
powerful software and easy to use.
Through menu you can create and edit
variables, manage files, describe
variables in statistical form, perform
simple and multiple regression, analysis
of variance for experimental designs,
two-dimensional and three-dimensional
graph equations, build scatter diagrams
and histograms. It may also generate
random variables, transform variables,
variables to convert various formats to
interact with various programs, create
pie charts, bar, etc.
All results are easy to interpret and
the user requires only minimal knowledge
of statistics.
SDG consists of several modular programs
that interact with each other through
interactive menus with the user.
All modules are scheduled in TURBO BASIC with some subroutines into
machine code that makes some processes more efficient. All programs are
unprotected and can be listed and or modified.
With SDG you can graph their monthly expenses, statisticians calculate
averages and other complexes, pooling their data in tables and get
immediate histograms, to differentiate between products, predicting its
sales or expenses, graph complex mathematical functions, and so on.
The configuration that requires you to use SDG in a
physical ATARI:
1) A computer ATARI with a minimum of 48 Kb RAM.
2) A floppy drive ATARI
3) A diskette SDG (A and B sides system or two separate floppy disks)
with modular programmes.
4) A blank floppy disk to store files: variables (data), graphics,
tables, etc.
5) A printer EPSON RC-220 or equivalent, optional.
6) An optional printer plotter ATARI 1020 for three-dimensional
graphics.
2
The configuration that
requires you to use SDG
in
emulation
with
Atari800Win Plus:
1) Load Image
SDG-side-A.atr
in the Disk Drive 1
2) Load Image
SDG-Data.atr
in
Disk Drive 2
3) Reset emulator and disable
BASIC. When you start the
program, choose Option 2
How do I load onto
your computer SDG ATARI?
1)
Turn on the drive 1 (and 2 drive in case of using two Drives)
2)
Insert the SDG system disk by side A (or Diskette 1 if the system is
recorded in two separate floppy disks).
3)
Turn on your computer pressing OPTION
4)
Choose the appropriate option on the screen and follow the
instructions below.
2.- Variable EDITOR Module
Purpose: To create,
modify or add data from a
variable. The variables
must be created or
modified one by one, and
before editing another
variable, the above is
recorded on the disk
data.
Once released all
relevant variables, the
modules can be used for
descriptive statistics,
graphs, regression, or
analysis of variance for
design of experiments.
To increase the speed in the edition of variables and allow a greater
degree of automation in the subsequent analysis of information, the
editor lets you create variables according to their type (discrete or
continuous variable), and agree to form that will be transferred to
computer (or many variables with little data to be repeated). In
general, a variable that is usually discreet is represented by
3
categories or classes only because it makes no sense to establish ranks
continued with their values. The variables are considered continuous if
it makes sense to group their values range or ranges. However, even if
the variable is discreet, can be classified as if it were ongoing when
the number of different values is very high.
Options 1 and 3 are similar, they differ only in how they are
introduced or edit data.
Options 2 and 4 are similar, they differ only in how they are
introduced or edit data.
The SDG EDITOR distinction between:
a) Data isolated with values
that are very repeated in
the sample and to be grouped
into categories with only
tables (no class intervals).
In this case the variable is
considered Discrete. The
publication of such data is
done with option 1
Example: Variable daughter.
The number of children from
27 families. As we enter the
27 data of this variable
(daughter), it is easier to
enter using the OPTION 1
program, ie variable discrete values with repeated.
2
2
2
2
3
1
1
2
3
2
1
2
3
2
1
2
3
0
2
2
0
0
0
2
1
1
1
Note that the value 0 has a frequency of 4, the value 1 a frequency of
7, the value 2 a frequency of 12, and worth 3 a frequency of 4, ie,
with many repeated values. 1 with the option of SDG facilitates the
entry or editing of this type of variable.
When the descriptive process of variable with SDG (tabulation and
calculation of parameters), will be something like this:
Daughter
Frequency
Frec.Acum.
Frec.%
Frec.Acum.%
0
4
4
14.81
14.81
1
7
11
25.93
40.74
2
12
23
44.44
85.19
3
4
27
14.81
100
Totales
27
100
Note that the categories are not intervals (Discrete
Variable)
4
b) Data isolated with values that are not (very) repeated in the sample
and to be grouped into categories with only tables (no class
intervals). In this case the variable is also considered Discrete.
The publication of such data is done with Option 3.
Example: Height. The height of 13 floors (m) measures with a decimal
precision. Note that can be described discrete variables even if they
have decimals. Although you can also use option 1, it is easier to use
option 3
1.6
1.5
1.5
1.7
1.8
1.7
1.0
1.5
1.8
1.0
1.3
1.7
1.7
When the descriptive process of variable with SDG (tabulation and
calculation of parameters), will be something like this:
HEIGHT
Frecuency
Frec.Acum.
Frec.%
Frec.Acum.%
1.0
2
2
15.38
15.38
1.3
1
3
7.69
23.08
1.5
3
6
23.08
46.15
1.6
1
7
7.69
53.85
1.7
4
11
30.77
84.62
1.8
2
13
15.38
100
Totals
13
100
Note that the categories are not intervals (Discrete
Variable)
Observations: The variable can be discreet when considering their
classification in frequency tables does not involve the use of
intervals or ranges. The classification tables in a unique class of
discrete variables are possible only if the number of values
"different" observed in the variable does not exceed 20.
c) Data isolated with values that are repeated in the sample and to be
grouped into categories with tables intervals. In this case the
variable continue is considered. The publication of such data is done
with Option 2. We can also use option 4, but I would write one to one
data.
Example: Variable weight. The weight (kg) of 40 persons:
45 45 45 50 50 52 40 50 48 48 38 45 50 40 50 45 45 50 37 37
45 37 37 39 50 37 42 48 45 45 45 50 52 37 37 45 45 45 48 38
When the descriptive process of variable with SDG (tabulation and
calculation of parameters), will be something like this:
5
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