# ProbabilityDistributionType

## ProbabilityDistributionType enumeration

Specifies types of supported probability distributions.

``````public enum ProbabilityDistributionType
``````

### Values

NameValueDescription
Uniform`0`The distribution when every value is chosen with equal probability.
Normal`1`The distribution which is sometimes informally called the bell curve (Gaussian distribution).

### Examples

Shows how to start analysis of risks by using <see cref=“Aspose.Tasks.RiskAnalysis.RiskAnalysisSettings” />.

``````var settings = new RiskAnalysisSettings
{
IterationsCount = 200
};

var project = new Project(DataDir + "Software Development Plan-1.mpp");

// Initialize a risk pattern
{
// Select a distribution type for the random number generator to generate possible values from (only two types currently supported, namely normal and uniform)
// For more details see here: https://en.wikipedia.org/wiki/Normal_distribution)
Distribution = ProbabilityDistributionType.Normal,

// Set the percentage of the most likely task duration which can happen in the best possible project scenario
// The default value is 75, which means that if the estimated specified task duration is 4 days then the optimistic duration will be 3 days
Optimistic = 70,

// Set the percentage of the most likely task duration which can happen in the worst possible project scenario
// The default value is 125, which means that if the estimated specified task duration is 4 days then the pessimistic duration will be 5 days.
Pessimistic = 130,

// Set a confidence level that correspond to the percentage of the time the actual values will be within optimistic and pessimistic estimates.
// You can think of it as a value of standard deviation: the more uncertain about your estimates you are, the more the value of standard deviation used in random number generator is
ConfidenceLevel = ConfidenceLevel.CL75
};

// Analyze the project risks
var analyzer = new RiskAnalyzer(settings);
var analysisResult = analyzer.Analyze(project);

Console.WriteLine("Expected value: {0}", earlyFinish.ExpectedValue);
Console.WriteLine("StandardDeviation: {0}", earlyFinish.StandardDeviation);
Console.WriteLine("10% Percentile: {0}", earlyFinish.GetPercentile(10));
Console.WriteLine("50% Percentile: {0}", earlyFinish.GetPercentile(50));
Console.WriteLine("90% Percentile: {0}", earlyFinish.GetPercentile(90));
Console.WriteLine("Minimum: {0}", earlyFinish.Minimum);
Console.WriteLine("Maximum: {0}", earlyFinish.Maximum);

settings = new RiskAnalysisSettings
{
IterationsCount = 300
};

// change settings
analyzer.Settings = settings;

analysisResult = analyzer.Analyze(project);