Question

Explain data analysis techniques used in quantitative research.

Answer 1

Quantitative data is defined as the value of the data in numerical or numerical form, where each dataset has a unique numerical value associated with it. This data is a quantifiable information that can be used for mathematical calculations and statistical analysis, so real life decisions can be made on the basis of mathematical derivatives. Quantitative data is used to answer questions such as "how much?", "How often?", "How much?" . These data can be verified and can also be easily evaluated using mathematical techniques.

For example, there are quantities that correspond to various parameters such as "How much is this laptop?" Is a question that will collect quantitative data. There are values ​​associated with most measurement parameters, such as pounds or kilograms, by weight of dollars for costs.

Quantitative data make the measurement of various parameters more manageable because of the convenience of the mathematical derivatives from which they come. Quantitative data are usually collected for statistical analysis using surveys, surveys or questionnaires sent to specific sections of the population. The results obtained can be reproduced in a population.
Types of quantitative data with examples

The most common types of data types are as follows:

Counter.

Number is equal to unit. For example, the number of people downloading an app from the App Store.

    Measurement of physical objects:

Calculation of measurements of all matter. For example, the HR manager carefully measures the size of each room assigned to newly recruited employees.
    Sensory Computing:

A mechanism for the natural "reasoning" of measured parameters to produce a permanent source of information. For example, a digital camera converts electromagnetic information into a series of digital data.
    Data projection :

Future data design can be done using algorithms and other mathematical analysis tools. For example, marketers will expect sales growth after launching a new product with in-depth analysis.

Quantification gualitative entities:

Limits numbers to quality information. For example, ask an online survey respondent to share the likelihood of a recommendation on a scale of 0 to 10.