Question

Statistics has been defined as "the science of learning from data." What are some of the data with which you will be confronted your field of study? How are such data typically obtained and analyzed?

In the example(s) that you provided in response to the preceding question, what were some deficiencies in the data gathering and analysis and how might these be overcome?

Answer 1

We have different types of data on the perspective of study. We have homogeneous data and heterogeneous data. We also have categorical data and numerical data. So depending on situation that we deal with the nature of data is changing.

Examples

Homogeneous data : A study to find average height of students in a particular college ( example for numerical data too)

Heterogeneous data : Crop Yield study in different plots ( example for numerical data too )

Categorical data : A study related to detect the presence or spread of particular disease in an area

and so on...

Survey is a method to obtain the data.

Primary data is collecting the data directly from the field. Secondary data is utilizing the data which is already collected.

Based on the objective of the study we can analysed the data using regression analysis , correlation analysis etc.

Problems in data gatherings are :

• Wrong investigation strategy
• Time choosen to collecting data may be inappropriate
• Non response
• Lack of funding
• Lack of qualified personnel etc.....

Solution

• The enumerator should fully aware of data collecting field and purpose of data collection
• Some data depends on time , season etc so based on the objective of the study choose an appropriate time
• Non response can either eliminated from the study or follow up is recommended
• Sufficient fund should be allocate before the data collection
• Statistical Technique, Quality etc should be given to enumerators

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