Discuss in brief univariate analysis and bivariate analysis with suitable examples.

Univariate analysis and bivariate analysis are two fundamental techniques used in research methods, including those applied in the field of rural development. These methods help researchers to understand and analyze data, drawing meaningful insights from it.

1. Univariate Analysis:
Univariate analysis involves the examination of a single variable at a time. It focuses on describing and summarizing the characteristics of that particular variable without considering any relationship with other variables. Common techniques used in univariate analysis include measures of central tendency (mean, median, mode), measures of dispersion (standard deviation, range), frequency distributions, and graphical representations like histograms and box plots.

Example:
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