Ohio Rolling Cash 5 Mean Distribution

  Number Frequency   Overdue Numbers   Odd/Even Numbers   High/Low Numbers   Sum and Root Sum   Hot and Cold Numbers   Most Common Pairs   Most Common Triplets   Most Common Quadruplets   Mean, STDEV, and Range Trend   Mean Distribution   Range Distribution   STDDEV Distribtion   IQR Distribution   Clustering Distribution
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  Number Frequency   Overdue Numbers   Odd/Even Numbers   High/Low Numbers   Sum and Root Sum   Hot and Cold Numbers   Most Common Pairs   Most Common Triplets   Most Common Quadruplets   Mean, STDEV, and Range Trend   Mean Distribution   Range Distribution   STDDEV Distribtion   IQR Distribution   Clustering Distribution

The Mean is one of the basic statistics often used to study past draws. It shows the average of the numbers drawn which helps in measuring and illustrating how random numbers can cluster around certain mean values over time.

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Rolling Cash 5 Charts

 
Last 75 draws
From Aug. 11, 2025 To Oct. 24, 2025

Histogram of Means

In lottery analysis, a histogram of means is used as a statistical tool to illustrate how often different average values of lotto combinations occur across multiple draws. This helps identify whether drawn combinations tend to produce lower, middle, or higher average numbers, giving insight into the overall balance and spread of outcomes.

The chart below is a histogram of mean values of lotto combinations from Aug. 11, 2025 to Oct. 24, 2025 , covering 75 draws. The range of possible means is divided into categories or bins. In this case, the bins are defined as intervals such as 1-5 up to 36-39, each representing a continuous range of mean values.

This division is necessary because individual mean values can vary widely, and grouping them into intervals makes patterns easier to observe. For example, by examining how frequently means fall into each bin, anyone can quickly see whether the draws are evenly distributed, clustered in particular ranges, or biased toward lower or higher averages.

The histogram of mean values reveals notable patterns. The most frequent mean range is 21-25 with 23 occurrences, suggesting this interval is the most common outcome across the draws. On the other hand, the least frequent mean range is 1-5, 31-35, 36-39 with 0 occurrences, indicating relatively rare outcomes in this interval. This suggests a strong concentration of mean values within specific ranges. In summary, the distribution of mean values shows a tendency for draws to cluster around the higher-frequency ranges.

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