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A histogram is a graphical representation of the distribution of numerical data. It consists of bars that represent the frequency of data points within specified intervals, or bins. The height of each bar indicates the number of observations that fall within that range, allowing for a visual assessment of the data's distribution shape.

Normal distribution, often referred to as a bell curve, is a probability distribution that is symmetric about the mean. In a normal distribution, most of the observations cluster around the central peak, and the probabilities for values further away from the mean taper off equally in both directions. Understanding this concept is crucial for determining if a dataset approximates this idealized distribution.

A frequency distribution is a summary of how often each value occurs in a dataset. It can be presented in a table or graphically, such as in a histogram. This concept is essential for analyzing data, as it provides insights into the data's central tendency, variability, and overall distribution, which are foundational for statistical analysis.