Data Representation Powerpoint

The presentation contains: 1) TALLY MARKS

Learning Objectives.
Definition of a tally mark.
Uses of tally mark.
How to count a tally mark.
Tally Mark Chart.
Construction of a tally mark table with an example.
Application on real life problems on tally mark.
Read and Interpret a tally mark table.

The presentation contains: 2) FREQUENCY DISTRIBUTION TABLE

Definition of a Frequency Distribution Table.

Types of Frequency Distribution Table:

a) Discrete Frequency Distribution Table (Ungrouped).

b) Continuous Frequency Distribution Table (Grouped).

Uses of Frequency Distribution Data.

5 steps to construct a Frequency Distribution Table with examples.

e.g. 1) Ungrouped Data.

2) Types of Grouped Data:

a) Continuous Interval Form (Exclusive Form).

b) Discontinuous Interval Form (Inclusive Form).

For Grouped data what are the types of class intervals

a) overlapping with example solved

b) non - overlapping with example solved.

3) PICTOGRAPH

Learning Objectives.

Definition of a Pictograph.

Parts of a pictograph.

Tips for construction of pictograph.

Steps to construct pictograph with an example.

Scaling and drawing a pictograph.

Read and Interpret a pictograph.

4) BAR GRAPH

Learning objectives.

Definition of a bar graph.

Parts of a bar graph.

Tips for construction of bar graph.

Steps to construct bar graph with an example.

Types of bar graph.

Advantages of bar graph.

5) DOUBLE BAR GRAPH

Learning Objectives.

Definition of a double bar graph.

Parts of a double bar graph.

Difference between bar graph and double bar graph.

Tips for construction of double bar graph.

Steps to construct double bar graph with an example.

To read and interpret the double bar graph.

6) LINE GRAPH

Learning objectives.

Definition of a line graph.

Parts of a line graph.

Tips for construction of line graph.

Steps to construct line graph with an example.

Reading and Interpreting a line graph.

Advantage of line graph.

7) PIE CHART
Learning Objectives.
Definition of a Pie Chart.
Tips for construction of pie chart.
Steps to construct a pie chart with an example.
Scaling and drawing a pie chart.
Read and Interpret a pie chart.

8) HISTOGRAM
Learning Objectives.
Definition of a Histogram.
Parts of a histogram.
Difference Between bar graph and histogram.
Types of intervals.
Tips for construction of bar graph.
Steps to construct bar graph with an example.
Read and Interpret a histogram.

The presentation contains: 9) DATA HANDLING

Statistics.

Fundamental Characteristics of Data.

Raw data.

Types of Data.

Data Handling Cycle.

Data Tabulation/ Recording of data .

Array with example.

Organisation of data.

Types of statistical data.

Tables e.g. Tally chart

Pictures e.g. Pictogram.

Graphs e.g. Bar graph, Pie chart, Line graph,

Diagrams e.g. Tree diagram, Venn diagram, Mapping or Arrow diagram.

Using ICT in data handling.

The presentation contains: 10) MEAN, MEDIAN, MODE AND RANGE

Central Tendency.

Importance of Central Tendency.

Types of measures of central tendency.

Mean and its examples.

Range and its examples.

Median and its examples.

Mode and its examples.