A cluster is a group of data, or a bunch. A gap is a huge interval. An outlier is a piece of data that is really small or really big.
An* outlier is a number that is much, much greater or much, much less than all/most of the other points. Basically the one that messes up the average, so usually outliers are counted out when finding the mean of a set.
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It is called a time plot.
line plot
1.3 in a number line is between 1 and 2 .
A cluster is where the majority of the data are plotted.
A cluster in a line graph is the major part of the line graph that connects to the plot.
Outliers in a line plot are data points that significantly deviate from the overall trend or pattern of the other data points. They can appear as points that are much higher or lower than the surrounding values, indicating unusual or exceptional cases. Identifying outliers is important as they can influence statistical analyses and interpretations. In a line plot, outliers may suggest anomalies, errors in data collection, or unique events warranting further investigation.
If is does not cluster with the other points on a plot. example; the asterik is the outlier ........ ... ...... ...... .. ........ .. ...... ... .. . ...... __________* .. .. . . . . . .. ..
You cannot, unless they are all outliers, and the plot records outliers separately.
Yes. The exception arises when you have outliers.
The whiskers mark the ends of the range of figures - they are the furthest outliers. * * * * * No. Outliers are not part of a box and whiskers plot. The whiskers mark the ends of the minimum and maximum observations EXCLUDING outliers. Outliers, if any, are marked with an X.
A dot plot is a type of graph that shows data points along a number line. Each data point is represented by a dot above the corresponding value on the number line. Dot plots are useful for displaying the distribution of data and identifying patterns or outliers.
The word gap means a big space with no #s on a line plot.
The easiest way is to plot the values on a number line, then look at any outliers and consider whether they may be anomalies.
Yes, clusters can appear in the center of a line plot, depending on the data being represented. A cluster in this context refers to a grouping of data points that are closely spaced together. If the data values in the central region exhibit a higher frequency or similarity, it can create a noticeable cluster in that area of the plot. This can indicate common trends or behaviors within that segment of the data.
An outlier in a line plot is a data point that significantly deviates from the other points in the dataset. It appears as a point that is far removed from the overall trend or pattern indicated by the line connecting the other points. Outliers can result from variability in the data, measurement errors, or they may represent a unique condition worth investigating further. Identifying outliers is important for data analysis, as they can influence the results and interpretations.