mcknia07 said:Google is not helping so much like it normally does, lol.
A histogram is a graphical representation of data that shows the distribution of numerical values within a dataset. It consists of a series of bars, with the height of each bar representing the frequency or count of data within a specific range or interval.
The steps to make a histogram are as follows: 1. Determine the number of intervals or bins to divide the data into. 2. Calculate the range of the data by subtracting the minimum value from the maximum value. 3. Calculate the width of each interval by dividing the range by the number of bins. 4. Create a frequency table by counting the number of data points that fall within each interval. 5. Draw the histogram, with the x-axis representing the intervals and the y-axis representing the frequency counts.
The purpose of a histogram is to visually display the distribution of data and identify any patterns or trends within the data. It is particularly useful for identifying the central tendency, spread, and skewness of a dataset.
Histograms are suitable for displaying numerical data, including continuous, discrete, and categorical data. However, it is important to note that the intervals or bins used in a histogram must be chosen carefully to accurately represent the data and avoid misleading interpretations.
To interpret a histogram, you should look at the shape, center, and spread of the data. The shape can indicate whether the data is symmetric, skewed, or bimodal. The center can be identified by the peak or mode of the histogram, while the spread can be estimated by the range or standard deviation of the data. Additionally, you can also look for any outliers or gaps in the data.