Answer :
In conclusion, based on the information provided, we can deduce that the data does not adhere to the[tex]68-95-99.7[/tex]rule, indicating that it is not normally distributed. To further analyze the data, we can use descriptive statistics and measures of skewness and kurtosis.
The histogram of the given set of data appears to be symmetric, however, the data does not adhere to the 68-95-99.7 rule. This suggests that the data is not normally distributed. To further analyze the data, we should look at the shape of the graph, the range of values, and any outliers present in the data. We can also use descriptive statistics such as the mean, median, and standard deviation to evaluate the data.
Additionally, we can also measure skewness and kurtosis to determine how close the data is to a normal distribution. If the skewness and kurtosis values indicate that the data is not normal, then we can conclude that the data does not follow the 68-95-99.7 rule.
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