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Yes- the highest probability value is the mode. Let me clarify this answer:

For a probability mass function for a discrete variables, the mode is the value with the highest probability as shown on the y axis. For a probability density function for continuous variables, the mode is the value with the highest probability density as shown on the y-axis.

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Q: The mode is the largest value in a symmetric distribution?
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How do you derive mode of Pareto Distribution?

The mode of the Pareto distribution is its lowest value.


How you get the mode by applying probability distribution?

The mode is the most probable value. Often, you determine the mode by plotting the experimental probability distribution, and finding the peak value. The mode is not necessarily the same as the mean nor the median, unless the distribution is symmetrical.


What are some examples where the mean the median and the mode might be the same?

(10, 15, 15, 15, 20) The answer above displays a sample in which the sample mean, sample median and sample mode assume the same value. If you were asking about populations, then the population mean, population median and population mode are the same whenever the probability density function for the population is symmetric. For example, the normal probability density function is symmetric, the t and uniform density functions are symmetric. Many are.


Why it is important to determine the shape of data distribution before computing descriptive statistics?

You may be most familiar with the normal distribution (the Bell-shaped curve). The mean, mode and median of this distribution are all the same because it is symmetric. If, however, you take a sample from a distribution that is asymmetric in some way then the mean, mode and median will differ. You would need to decide which of these more effectively characterises the population. Then you would compute that descriptive statistic.


Does mode equal median in a normal distribution?

Yes, mode equals median in a normal distribution.