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Oracle SQL Handler is a standalone application that allows DBA developers and users to execute SQL statements without manipulating PL/SQL code or running commands from command line.
Its functionality is designed for developers, DBA operators and SQL Server developers.
With the help of Oracle SQL Handler you can:

Execute SQL statements including commands from script files
Start/stop SQL sessions
Show SQL statements and corresponding SQL execution
Send and receive variables by executing string variables, characters, numbers and dates
Export cells to XLS format and sort columns
Resolve errors and check SQL statements status
Debug and test PL/SQL

How to install:

Download from Oracle website (
Create a directory or zip package (e.g. C:/oracle/sql-handler-install)
Extract the installation package
Make SQLHandler64 the default directory (e.g. C:\oracle\sql-handler-install\sqlhandler64)
Start the installation wizard
Install the program

How to use:

Launch the installer
Select a language (e.g. English)
Select a type of installation (e.g. self-contained)
Select a location for the database (e.g. C:\oracle\product\10.2.0\db_1\database)
Configure the installer
Press Next to start the wizard
Choose a database to be installed (e.g. HR_DB)
Make sure to check the “Create an administrator” check box
Select a user for the new database owner (e.g. oracle_sys)
Press Next to confirm
Create a new database (e.g. HR_DB)
Select your options
Press Next to continue the installation
Select the installation directory (e.g. C:\oracle\sql-handler-install\sqlhandler64)
Press Next to confirm
Install the program



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A generic platform for statistical studies.

A useful and versatile tool for planning, carrying out, and analysing statistical studies.
Provides a number of useful options for manipulating both individual results,
as well as graphical representations of results for use in a publication.
Converts selections from number-entry fields into drop-down choices for
result display.
Allows the display of multiple results per screen.
Allows the output of results in either graphical or number-entry format.

Testing the POWER Functionality:
A simple example will be used here, to illustrate a study. Let’s say that, at the time of collecting data, an experimenter found out that the rvalue for observing a female mouse is 0.51. Now let’s assume that the experimenter wants to test the hypothesis that the value is different from 0.5. So let’s use the POWER function. This example uses a 6 DOF (degrees of freedom) system, but the example could be easily modified for use with other system sizes. Here is a sample dataset with two fields for the value and an indicator field for gender.
Gender Observed Value
Male 0.29

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