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Categorical data may also be classified into binary and non binary depending on its nature. A given question with options “Yes” or “No” is classified as binary because it has two options while adding “Maybe” to the given options will make it non binary. Categorical Data Examples

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Taking numerical data and presenting it in pictures or graphs is known as pictorial statistics. Showing data in the form of a graphic can make complex and confusing information appear more simple and straight‐forward. Different types of graphs are used for quantitative and categorical variables.

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ogive.freq: Plotting the ogive from a histogram ... object created by the function hist() or graph.freq() type: what type of plot should be drawn. See plot() xlab:

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Jul 03, 2012 · Incorrect. The powder volume variation you are discussing is insignificant. A few thousandths seating depth variation can make a large difference. Just because you can measure and graph a parameter does not make it significant. And, correlation does not equal causation. Conduct some tests to prove your hypothesis and present the results. Make your own Graphs. Explore the wonderful world of graphs. Create your own, and see what different functions produce. Get to understand what is really happening.

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Running the Macro. Raw data. Suppose you have a column of raw data in C2. To run the macro, choose Edit > Command Line Editor and type: %OGIVE C2. Click Submit Commands.. Frequency data. Suppose your data are arranged in a frequency table where the midpoints of the intervals that you want are in C2 and the frequencies are in C3.

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An ogive is a cumulative frequency graph. An ogive shows the cumulative frequency for the given set of data. The ogives are of two types: more than ogive and less than ogive.