Lesson Notes By Weeks and Term - Senior Secondary School 1

SUBJECT: DATA PROCESSING

CLASS:  SS 1

DATE:

TERM: 1st TERM

REFERENCES

• Data Processing forSenior Secondary Education by Hiit Plc.
• A Handbook on Computer Studies by NiyiAdekolegan.
• On-line Materials.

 
WEEK TEN

TOPIC: DATA AND INFORMATION

DEFINITION OF DATA

Data are raw, unorganized or unprocessed facts that need to be processed. Data can be something simple and seemingly random and useless until it is organised.

TYPES OF DATA

1. Qualitative data  i.e descriptive information
2. Quantitative data  i.e  numeric information

SUBDIVISION OF QUANTITATIVE DATA

1. Continuous data: this can take any value. It is also known as measured data. It can take value within a range e.g  0-99, 10-20 etc.
2. Discrete data: this type of data is whole in nature. It is not continuous. It takes a whole numbers and also called Counted data.

FORMS OF DATA

1. Numeric  i. e  0-9
2. Letters  i.e  a-z or A-Z
3. Symbols  e.g   + , _ , * , % , = , <, >, etc

EXAMPLES OF DATA

Numbers, name of thing, place or animal, words, measurements, observations, descriptions of things etc.

SOURCES OF DATA

Data can come from different sources depending on the importance of the data. The following are sources of data: television, internet, articles, government documents and public records, newspaper, textbooks, biographies.

EVALUATION

1. Define data.
2. Explain the two types of data.
3. Mention any five sources of data.

INFORMATION

This refers to data that have been converted into a more meaningful and useful form.

It refers to a processed data that is meaningful to the user.

EXAMPLES OF INFORMATION

1. Student ID card
2. Weather reports
3. Student’s report card
4. International passport
5. Utility bills e.g PHCN bills, Water bills

SOURCES OF INFORMATION

Internet, Database, Magazine/ Newspaper, Census board, Documents, Observation etc

CHARACTERISTICS OF GOOD INFORMATION

1. Relevance:  it must be relevant and good enough for its purpose.
2. Reliability: it must come from a reliable source.
3. Accuracy:  it must be an end product of processed data. That is, it must be error-free.
4. Availability:  it must be available and communicated to the user as at when it is needed.
5. Suitability: it must be expressed in the form the user of the information can understand it and of suitable for its purpose.

DATA HANDLING

This the process of ensuring that research data is stored, archived or disposed off in a safe and secure manner during and after the conclusion of a research project.

WAYS OF HANDLING DATA

1. Electronic methods: Data can be handled electronically ensures data integrity. It includes personal digital assistants (PDA), storage media, CD/DVD, MEMORY CARDS etc.
2. Non-Electronic methods:  This method includes paper files, journals and laboratory notebooks. It is basically called manual method in which human energy and effort are used to process data.

GENERAL EVALUATION

1. Mention any five sources of information.
2. Differentiate between data and information.
3. State any three forms of data.
4. Mention the two types of data
5. What is the difference between continuous data and discrete data?

READING ASSIGNMENT

Hiit @ schools data processing for Senior Secondary Education, pgs 8-9

WEEKEND ASSIGNMENT 

1. ……..are raw facts which have not undergone processing.

1. Information  B. Data   C.  Record D. None

1. One of the characteristics of good information has to do with the correctness of information.  A. reliability  B.  availability    C.  accuracy D. none
2. ……..refers to the information that has been processed.

1.   Data  B.  Information  C. Database D. None

1. There are ………  types of data.  A.   2   B.   3   C.  4 D. 8
2. The process of surfing the NET to get information for further research is …….

1. primary source   B.  on-line   C.  secondary source D. None

THEORY

1. Mention and explain the two ways of handling data.
2. Explain at least four characteristics of good information.