Which term describes the frequency of data points in a dataset?

The term that describes the frequency of data points in a dataset is data distribution. This concept refers to how the values in a dataset are spread out or arranged, allowing us to see where the majority of data points lie and how they are distributed across different values. In statistical analysis, understanding the data distribution is crucial because it helps in identifying patterns, making decisions about which statistical methods to use, and interpreting results accurately.

Data distribution can provide insights into central tendency (like mean or median), variability, and the presence of outliers. This information is vital for summarizing data and conducting further analyses, such as hypothesis testing or regression.

In contrast, probability refers to the likelihood of an event occurring, normal distribution is a specific type of data distribution characterized by the bell curve, and statistical significance indicates whether an observed effect is likely due to chance or if it reflects a true effect. Each of these concepts relates to data analysis but does not specifically describe the frequency of data points in the same direct way that data distribution does.