A frequency distribution is used as the basis for constructing  histograms, frequency polygons and ogives. A frequency distribution is constructed using raw data counts. A relative frequency distribution uses the percentage of data which fall into classes. A class is a range of numbers between which data values fall.

The true/false and fill-in-the-blank questions in the topic lessons are not being graded. They are designed to give positive feedback no matter what answer you give.

A frequency distribution and a relative frequency distribution (for the same set of data) would have the same shape. True False (click one)

The relative frequencies of all classes a relative frequencey distribution add to what number?

A frequency polygon graphical representation of frequency (or relative frequency) of data without using rectangles as in a histogram. All the steps necessary to construct a histogram are followed, then the class midpoints of the top of the histogram rectangles are connected. Next, the ends of the line connecting the class midpoints are extend down to the horizontal axis. The left extension is to the midpoint of the next empty class to the left. The right extension is to the midpoint of the next empty class to the right.

An ogive is a graphical representation of the cumulative frequency (or cumulative relative frequency) of data. The otherwise histogram rectangles are stacked on top of each other (the left most stacked on the next rectangle to the right, then both of these stacked on the next rectangle to the right, etc.) until 100% of the data has been accumulated on the far right. Connect the lower class limit of the first class to the upper class limits the accumulated stacked rectangles to the right until the upper class limit of the last stack indicates 100%. Remove the stacked rectangle. The result is an ogive. An ogive is a graphical way to determine percentiles.

A pie chart is a graphical representation of frequency (or relative frequency) data and/or nominal data as percentages of a circle. Nominal data are simply names or labels (e.g. responses to a survey with selections A, B, C, D, or E). Each one of the letters might represent a statement (e.g. "A" might represent the statement  "strongly agree"). The circle is divided into the percentage parts represented by each category.

As mentioned in the preceding paragraph, a pie chart may be used to display nominal data. In addition, nominal data my be represented by frequency distributions and bar charts. Special techniques are used to include nominal data as a part of a data series.

Examples- See link below