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  1. Drawing graphs and charts. When drawing a chart or a graph, the independent variable goes on the horizontal (x) axis and the dependent variable goes on the vertical (y) axis. Once this has been ...

  2. Plot (graphics) A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables. The plot can be drawn by hand or by a computer. In the past, sometimes mechanical or electronic plotters were used.

    • Step 1: Compare The Medians of Box Plots
    • Step 2: Compare The Interquartile Ranges and Whiskers of Box Plots
    • Step 3: Look For Potential Outliers

    Compare the respective medians of each box plot. If the median line of a box plot lies outside of the box of a comparison box plot, then there is likely to be a difference between the two groups. Source: https://blog.bioturing.com/2018/05/22/how-to-compare-box-plots/

    Compare the interquartile ranges (that is, the box lengths) to examine how the data is dispersed between each sample. The longer the box, the more dispersed the data. The smaller, the less dispersed the data. Next, look at the overall spread as shown by the extreme values at the end of two whiskers. This shows the range of scores (another type of d...

    When reviewing a box plot, an outlier is defined as a data point that is located outside the whiskers of the box plot.

  3. Jan 7, 2019 · How to ‘describe’ graphs. When asked to describe patterns in graphs, you ‘say what you see’. To describe the graph in Figure 1, for example, you could say: “The rate of photosynthesis increases as temperature increases until a set temperature where the rate then falls back to zero.”. If you can see numbers on the graph’s scales ...

  4. Graphs are drawn to show experimental data obtained during scientific experiments. It is important to consider the following when drawing a graph: The x-axis should be labelled (with the ...

  5. A box plot, sometimes called a box and whisker plot, provides a snapshot of your continuous variable’s distribution. They particularly excel at comparing the distributions of groups within your dataset. A box plot displays a ton of information in a simplified format. Analysts frequently use them during exploratory data analysis because they ...

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  7. en.wikipedia.org › wiki › Q–Q_plotQ–Q plot - Wikipedia

    In statistics, a Q–Q plot (quantile–quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against each other. [1] A point ( x , y ) on the plot corresponds to one of the quantiles of the second distribution ( y -coordinate) plotted against the same quantile of the first distribution ( x -coordinate).

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