Data analysis involves a wide range of statistical techniques, and the choice of which technique to use depends on the nature of the data, the research questions, and the goals of the analysis. Here are some common statistical techniques used in data analysis:
Descriptive Statistics:
Measures of central tendency: Mean, median, mode.
Measures of variability: Range, variance, standard deviation.
Frequency distributions: Histograms, bar charts, pie charts.
Inferential Statistics:
Hypothesis testing: T-tests, chi-squared tests, ANOVA, Wilcoxon rank-sum test, Mann-Whitney U test.
Regression analysis: Linear regression, logistic regression, multiple regression.
Analysis of variance (ANOVA): One-way ANOVA, two-way ANOVA.
Non-parametric tests: Kruskal-Wallis test, Friedman test, McNemar's test.
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