(a) Data representation
OBJECTIVES: know how to collect,
classify, tabulate and represent data • know how to extract information from
graphs and diagrams.
Data
Representation
Data Representation (CDR) is used to
represent structured or primitive data types passed as arguments or
results during remote invocations on Common Object Request Broker
Architecture (CORBA) distributed objects.
It enables clients and servers written in
different programming languages to work together. For example, it
translates little-endian to big-endian. Assumes prior agreement
on type, so no information is given with data representation in messages.
Lesson
b) Measures of central tendency
OBJECTIVES: understand the use of
the arithmetic mean
Measures
of Central Tendency
A measure of central tendency is a measure
that tells us where the middle of a bunch of data lies.
The three most common measures of central
tendency are the mean, the median, and the mode.
More about Measures of Central Tendency
Mean: Mean is the most common measure of central tendency.
It is simply the sum of the numbers divided by the number of numbers in a set
of data. This is also known as average.
Median: Median is the number present in the middle when the numbers in a set of data are arranged in ascending or descending order. If the number of numbers in a data set is even, then the median is the mean of the two middle numbers. Mode is the value that occurs most frequently in a set of data.
Median: Median is the number present in the middle when the numbers in a set of data are arranged in ascending or descending order. If the number of numbers in a data set is even, then the median is the mean of the two middle numbers. Mode is the value that occurs most frequently in a set of data.
Lesson
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