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In a scatter plot that is an exponential model, data can appear to be growing in incremental rates. In this type of model the data will only cross the Y-axis at one point.
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Ages of people are sorted meaningfully by a stem and leaf plot. Any type of data set in which the first or last digit differs and can be sorted. By using this type of plot, one can readily see the magnitude of each group of data sorted.
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If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,
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What are the minimum, lower quartile, median, upper quartile and maximum?What the range and interquartile range are.whether the data ore positvely or negatively skewed.How two (or more) data sets compare in terms of the "average" and spread.
The box part represents the interquartile range.
A box plot is a visual representation of the distribution of a dataset. It displays the minimum, first quartile, median, third quartile, and maximum values of the dataset. The "box" in the plot represents the interquartile range, while the "whiskers" represent the range of the data excluding outliers.
The range is the difference between the maximum score and the minimum score. Let's look at an example. [Figure2] The smallest number in the stem-and-leaf plot is 22. You can see that by looking at the first stem and the first leaf. The greatest number is the last stem and the last leaf on the chart. In this case, the largest number is 55. To find the range, subtract the smallest number from the largest number. This difference will give you the range. 55 - 22 = 33 The range is 33 for this set of data.
The box represents your Q1, Q2 (median) and Q3, so it is your interquartile range. The Q1 is the first box line, the Q2 is the middle one and the Q3 is the closing line. Your interquartile range basically tells you where 50% of the people are.
the number in your piece of data = n lower quartile, n+1 divided by 4 upper quartile, n+1 divded by 4 and times by three interquartile range(IQR) = upper quartile - lower quartile outliers(O) = interquartile range x 1.5 lower than IQR-O is an outlier (h) above IQR+O is an outlier (h) the outliers on your box plot are any numbers that are the value i have named (h) ^
A moderately small number of discrete quantitative data.
The sides of the box are the quartile values: the left is the first quartile and the right is the third quartile. The width, therefore is the interquartile range.
Line plot
You can have a scatter plot where the data is displayed as a collection of points. You can also have a dot plot where a set of data is represented by placing dots over a number line to represent the frequency of data.