Quantitative data methods are techniques used to analyze numerical data. These methods focus on understanding patterns, trends, and relationships within datasets that consist of numbers.
Imagine quantitative data methods as tools in a toolbox. Just like different tools serve specific purposes, these methods help us uncover insights from numerical data by applying various statistical techniques.
Measures of Central Tendency: Measures of central tendency (such as mean, median, and mode) summarize the center or average value of a dataset.
Descriptive Statistics: Descriptive statistics provide summaries and descriptions of numerical data through measures such as range, variance, and standard deviation.
Hypothesis Testing: Hypothesis testing is a statistical method used to make inferences about population parameters based on sample data.
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