Describe in detail the techniques of data analysis in quantitative research.

In quantitative research, data analysis involves a series of systematic procedures used to process numerical data and draw meaningful conclusions. The techniques of data analysis are designed to help researchers interpret data objectively and ensure that the findings are reliable and valid. These techniques can be broadly categorized into descriptive, inferential, and multivariate analysis methods.

Descriptive Analysis  
Descriptive statistics are used to summarize or describe the main features of a dataset. The primary goal is to provide a clear and concise overview of the data, often using measures such as:

1. Central Tendency: These include mean (average), median (middle value), and mode (most frequent value), which help describe the center of the distribution of the data.
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