Civil Engineering (CE) Exam > Civil Engineering (CE) Questions > Normal Distribution is applied for __________...
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Normal Distribution is applied for ___________
- a)Continuous Random Distribution
- b)Discrete Random Variable
- c)Irregular Random Variable
- d)Uncertain Random Variable
Correct answer is option 'A'. Can you explain this answer?
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Normal Distribution is applied for ___________a)Continuous Random Dist...
This is the rule on which Normal distribution is defined, no details on this as of why For more knowledge on this aspect, you can refer to any book or website which speaks on the same.
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Normal Distribution is applied for ___________a)Continuous Random Dist...
Normal Distribution and Continuous Random Distribution
- The Normal Distribution is commonly applied for Continuous Random Variables.
- Continuous Random Variables can take any value within a given range, unlike Discrete Random Variables which can only take distinct values.
- The Normal Distribution is characterized by a bell-shaped curve and is symmetric around the mean.
- It is widely used in statistics and probability theory due to its mathematical properties and the Central Limit Theorem.
- The distribution is defined by its mean and standard deviation, which determine the center and spread of the curve.
- Many natural phenomena, such as height, weight, and test scores, tend to follow a normal distribution.
- When data follows a normal distribution, it is easier to make predictions and calculate probabilities based on the properties of this distribution.
- Continuous Random Variables that follow a Normal Distribution have specific probabilities associated with different ranges of values, making it a useful tool in various fields of study.
Therefore, the Normal Distribution is primarily applied for Continuous Random Distribution due to its characteristics and mathematical properties that make it suitable for modeling a wide range of continuous random variables.
- The Normal Distribution is commonly applied for Continuous Random Variables.
- Continuous Random Variables can take any value within a given range, unlike Discrete Random Variables which can only take distinct values.
- The Normal Distribution is characterized by a bell-shaped curve and is symmetric around the mean.
- It is widely used in statistics and probability theory due to its mathematical properties and the Central Limit Theorem.
- The distribution is defined by its mean and standard deviation, which determine the center and spread of the curve.
- Many natural phenomena, such as height, weight, and test scores, tend to follow a normal distribution.
- When data follows a normal distribution, it is easier to make predictions and calculate probabilities based on the properties of this distribution.
- Continuous Random Variables that follow a Normal Distribution have specific probabilities associated with different ranges of values, making it a useful tool in various fields of study.
Therefore, the Normal Distribution is primarily applied for Continuous Random Distribution due to its characteristics and mathematical properties that make it suitable for modeling a wide range of continuous random variables.
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Normal Distribution is applied for ___________a)Continuous Random Distributionb)Discrete Random Variablec)Irregular Random Variabled)Uncertain Random VariableCorrect answer is option 'A'. Can you explain this answer?
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