Mode of a probability distribution

In summary, the conversation discusses a luminosity probability distribution and how to plot it and find the expectation value and mode. The equation for the distribution is given and the constant values are provided. The expected value is calculated through integration, but finding the mode is more challenging due to the lack of a clear peak in the distribution. The conversation suggests seeking help in astronomy or math forums for further assistance.
  • #1
indie452
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0

Homework Statement



I have a luminosity prob distribution that i want to plot and find the expectation value and mode for.

Homework Equations



p(L)dL = A [itex]\frac{L}{i}^a[/itex]exp(-[itex]\frac{L}{i}[/itex]) [itex]\frac{dL}{i}[/itex]

A=const
a= -0.7
i= 1.4e10 solar luminosity units
lower limit = 1e9 solar luminosity units

The Attempt at a Solution



I know that i can pick an arbitrarily large upper limit because as L increases much more than i, the exp term grows faster and the function goes to zero.

the expected value is just
[itex]\int L p(L)dL[/itex]

but the mode is harder as usually we can differentiate the prob distribution and set it to zero to find turning point but this function plotted doesn't have a peak like on gaussian like plots
 
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  • #2

1. What is the mode of a probability distribution?

The mode of a probability distribution is the value that occurs most frequently in a dataset. It is the peak or highest point on a probability distribution graph.

2. How is the mode calculated?

To calculate the mode, simply count the number of times each value appears in the dataset and identify the value with the highest frequency. In some cases, there may be more than one mode if multiple values occur with the same highest frequency.

3. What information does the mode provide about a dataset?

The mode provides information about the most common or typical value in a dataset. It can give insight into the central tendency of a dataset and can be used to describe the most frequent outcomes or behaviors.

4. How does the mode compare to other measures of central tendency?

The mode is one of three measures of central tendency, along with the mean and median. While the mean is affected by extreme values and the median is less influenced by outliers, the mode is not affected by extreme values and represents the most frequent value in a dataset.

5. Can the mode be used to describe non-numerical data?

Yes, the mode can also be used to describe non-numerical data, such as categories or qualitative data. In this case, the mode would represent the most common category or attribute in the dataset.

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