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#Histogram## A histogram is a type of chart that shows the frequency distribution of data points across a continuous range of numerical values. Example 1:
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Frequency histograms are useful when you want to get an idea about the distribution of values in numeric variable. To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping intervals of a variable. The bins (intervals) are adjacent and are typically (but not required to be) of equal size. In this article we will look at: ✅ How to construct histogram ✅ How to change histogram configuration by changing interval width ✅ How to draw kernel density plot on histogram ✅ How to enhance histogram for better insights You can read article here: https://lnkd.in/dqhhubmt #statistics
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A Histogram looks very much like a Bar Chart but conveys different information - A Histogram shows the distribution of a Numeric variable - The range of values are split into Intervals represented by different bins
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A graphical representation is called histogram.it is of various kinds.However a given example shows percentage of income spent with a graphs
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A histogram serves as a powerful tool for visually representing the distribution of both categorical and continuous variables, offering insights into the frequency distribution within a dataset. #prodigyinfotech
Day 13 of #100daysofMath MEASURES OF CENTRAL TENDENCY MODE The mode is the highest occuring number in a set of numbers, it is the value that occurs with the greatest frequency; that is the most common value. Example 1 shows that 9 has the most frequency hence it is the mode A set of numbers may not have mode when all frequency of each numbers in the set equals one (1). Example 2, all number are having a frequency of one (1) hence it has no mode. In a case where two modes exists the distribution is said to be bimodal, therefore a distribution having only one mode is called unimodal. Example 3, has two modes 4 & 7 and it's called bimodal. In the case of grouped data where a frequency curve has been constructed to fit the data, the mide will be the value (s) of X corresponding to the maximum point(s) on the curve. Also denoted as X - bar sometimes Where L¹ = Lower class boundary of the modal class (i.e., the class containing the mode) ∆¹ = Excess of modal frequency of frequency of next-lower class ∆² = Excess of modal frequency of frequency of next-higher class C = size of the modal class interval https://lnkd.in/dH9uGaGY Check link 👆 for bimodal curve Check diagrams for illustration. #ezewheshimeh #Math3ibeAfrica #statistics #mode
#ColorStochastic - indicator for MetaTrader 5 https://lnkd.in/ehJjVii6 # Standard Stochastic shown as a color histogram relative to level 50. Rising histogram bars above 50 are colored in green, while falling ones - in blue. Faling bars below 50 are colored in red, while rising ones - in magenta. If the histogram is above the signal line, the latter ...
