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STATISTICAL TOOLS
STATISTICS
• A range of procedures for gathering, organizing, analyzing and presenting
quantitative data. Statistics is a scientific approach to analyzing numerical
data in order to enable us to maximize our interpretation, understanding and
use.
• A crucial process behind how we make discoveries in science, make decisions
based on data, and make predictions.
STATISTICIANS
• A person who works with theoretical or applied statistics. The profession
exists in both the private and public sectors.
• Interpret data and communicate results to their clients, often with the aid of
mathematical techniques and software.
STATISTICAL TOOLS
Involved in carrying out a study which includes planning, designing, collecting data,
analyzing, drawing meaningful interpretation and reporting of the research
findings. The following are the list of most commonly used statistical tools:
• Context chart −method is used to understand the context of the data found.
When building thematic frames, the data included in each frame must be
connected by context to be useful
• Checklist Matrix −display method will determine whether the data is visible
or useful as a variable ( a variable is an object used for comparison such as
apples and oranges) in the analysis of the qualitative data
• Pattern-Coded Analysis Table − table is created with rows labeled with
themes and columns labeled by coded patterns. Pattern coding is a way to
add further distinction to a variable−oriented analysis of the data
• Mean − more commonly known as the average, is the sum of a list of
numbers divided by the number of items on the list. The mean is useful in
determining the overall trend of a data set or providing a rapid snapshot of
your data
• Standard Deviation −represented with the Greek letter sigma, the measure
of a spread of data around the mean. A high standard deviation signifies that
STATISTICAL TOOLS
STATISTICS
• A range of procedures for gathering, organizing, analyzing and presenting
quantitative data. Statistics is a scientific approach to analyzing numerical
data in order to enable us to maximize our interpretation, understanding and
use.
• A crucial process behind how we make discoveries in science, make decisions
based on data, and make predictions.
STATISTICIANS
• A person who works with theoretical or applied statistics. The profession
exists in both the private and public sectors.
• Interpret data and communicate results to their clients, often with the aid of
mathematical techniques and software.
STATISTICAL TOOLS
Involved in carrying out a study which includes planning, designing, collecting data,
analyzing, drawing meaningful interpretation and reporting of the research
findings. The following are the list of most commonly used statistical tools:
• Context chart −method is used to understand the context of the data found.
When building thematic frames, the data included in each frame must be
connected by context to be useful
• Checklist Matrix −display method will determine whether the data is visible
or useful as a variable ( a variable is an object used for comparison such as
apples and oranges) in the analysis of the qualitative data
• Pattern-Coded Analysis Table − table is created with rows labeled with
themes and columns labeled by coded patterns. Pattern coding is a way to
add further distinction to a variable−oriented analysis of the data
• Mean − more commonly known as the average, is the sum of a list of
numbers divided by the number of items on the list. The mean is useful in
determining the overall trend of a data set or providing a rapid snapshot of
your data
• Standard Deviation −represented with the Greek letter sigma, the measure
of a spread of data around the mean. A high standard deviation signifies that
