Introduction

Data Handling of Class 7

Data is the food of statistics. Data means any item of information however presented or represented. A data can be an item of text such as a name or an address or a number or numerical expression.  A number of related data may be associated together to form a record – each separate data item is then referred to as a field within the record. Many records together form a table or database.

For data to be meaningful and useful the items of data must be gathered or captured and recorded in a systematic manner. This is referred to as data handling. Data handling may be as simple as orderly recording on a sheet of paper or the completion of entry forms on a computer screen. Data integrity means putting data in its proper format in its proper place. Data accuracy means that every element of the data is correct whether it be the spelling of a text item, a digit in a number or the proper position of the decimal place within a number. Data validation is a system of checking that the item of data is consistent and meaningful. Accuracy, integrity and validation are essential to proper data handling.

In the below figure we can see numbers of smarties of each colours. Each block represent two smarties.

ddata handling introduction

data handling introduction

COLLECTING DATA

The purpose of collecting data is to get hold of information so as to keep on record and to make decisions about important issues. Data collection is a process of preparing and collecting data for future use.

Data Collection helps your team to assess the of your process. To do so, you must identify the key quality characteristics you will measure, how you will measure them, and what you will do with the data you collect.

Thus, before collecting data, we need to know what we would use it for.

Given below are a few situations. You want to study the

  • Your Performance .
  • Performance of India in cricket.
  • Literacy rate in a given area, or
  • Number of children below the age of five in the families around you.

What kind of data would you need in the above situations? Unless and until you collect appropriate data, you cannot know the desired information. What is the appropriate data for each?

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