Step 1

The differences between the qualitative and quantitative data.

Step 2

Data refers to the facts and statistics collected together for reference and analysis. There are two types of data called the qualitative data and the quantitative data.

Step 3

Qualitative data is the information about the qualities which cannot be measured. Examples include the colour of the petal, the softness of the fur. Quantitative data is the information about the quantities that can be measured, tabulated or recorded. Examples include the number of sepals in a flower, the volume of nectar produced.

Step 4

The difference between the qualitative data and quantitative data are as follows.

Qualitative data Quantitative data

1. It deals with description. 1. It deals with the numbers.

2. Data can only be observed and not measured. 2. Data can be measured and recorded.

3. It is the classification of samples based on properties. 3. It is the classification of samples on the basis of measurements and numerical expression.

4. It is non-statistical and theoritical. 4. It is statistical.

5. Helps in developing a hypothesis. 5. Helps in concluding a hypothesis with experimentation.

Step 5

Result:

Qualitative data is the non-numerical data and quantitative data is the numerical data.

The differences between the qualitative and quantitative data.

Step 2

Data refers to the facts and statistics collected together for reference and analysis. There are two types of data called the qualitative data and the quantitative data.

Step 3

Qualitative data is the information about the qualities which cannot be measured. Examples include the colour of the petal, the softness of the fur. Quantitative data is the information about the quantities that can be measured, tabulated or recorded. Examples include the number of sepals in a flower, the volume of nectar produced.

Step 4

The difference between the qualitative data and quantitative data are as follows.

Qualitative data Quantitative data

1. It deals with description. 1. It deals with the numbers.

2. Data can only be observed and not measured. 2. Data can be measured and recorded.

3. It is the classification of samples based on properties. 3. It is the classification of samples on the basis of measurements and numerical expression.

4. It is non-statistical and theoritical. 4. It is statistical.

5. Helps in developing a hypothesis. 5. Helps in concluding a hypothesis with experimentation.

Step 5

Result:

Qualitative data is the non-numerical data and quantitative data is the numerical data.