The Normal Distributions Test

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The Normal Distributions Test - Quiz

A normal distribution is a term in probability theory, which is a very common continuous probability distribution. Take this test to assess your knowledge of normal distribution.


Questions and Answers
  • 1. 

    What is the area under a standard normal curve?

    • A.

      1

    • B.

      0

    • C.

      Not defined

    • D.

      Infinity

    Correct Answer
    A. 1
    Explanation
    The area under a standard normal curve is 1. This is because a standard normal curve represents a normal distribution with a mean of 0 and a standard deviation of 1. The total area under the curve represents the probability of all possible outcomes, and since the total probability of all outcomes is 1, the area under the curve must also be 1.

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  • 2. 

    Another name for normal distribution is...

    • A.

      Lagrangian distribution

    • B.

      Gaussian distribution

    • C.

      Laplacian distribution

    • D.

      Cauchy's distribution

    Correct Answer
    B. Gaussian distribution
    Explanation
    The correct answer is Gaussian distribution. The normal distribution is often referred to as the Gaussian distribution, named after the mathematician Carl Friedrich Gauss. It is a continuous probability distribution that is symmetrical and bell-shaped, with the majority of the data points falling near the mean. The Gaussian distribution is widely used in statistics and various fields to model and analyze random variables.

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  • 3. 

    In a normal distribution, the mean, mode and median are all equal.

    • A.

      True

    • B.

      False

    • C.

      Depends on the type of normal distribution

    • D.

      Depends on some other factors

    Correct Answer
    A. True
    Explanation
    In a normal distribution, the mean, mode, and median are all equal because the normal distribution is symmetric. The mean represents the average value, the mode represents the most frequent value, and the median represents the middle value. In a symmetric distribution like the normal distribution, these three measures of central tendency coincide and have the same value. Therefore, the statement is true.

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  • 4. 

    On which of the following is the shape of a normal distribution curve dependent on?

    • A.

      Mean

    • B.

      Variance

    • C.

      Standard deviation

    • D.

      Mean deviation

    Correct Answer
    C. Standard deviation
    Explanation
    The shape of a normal distribution curve is dependent on the standard deviation. The standard deviation determines the spread of the data around the mean. A larger standard deviation results in a wider and flatter curve, while a smaller standard deviation results in a narrower and taller curve. The mean determines the center of the distribution, but it is the standard deviation that affects the shape.

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  • 5. 

     What is the value of the constant e in normal distribution?

    • A.

      2.4183

    • B.

      2.5183

    • C.

      2.6183

    • D.

      2.7183

    Correct Answer
    D. 2.7183
    Explanation
    The value of the constant e in normal distribution is 2.7183.

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  • 6. 

    What is the value of mode in standard normal distribution?

    • A.

      1

    • B.

      0

    • C.

      Not fixed

    • D.

      None

    Correct Answer
    B. 0
    Explanation
    In a standard normal distribution, the mode refers to the value that occurs most frequently. In this case, the mode is 0, meaning that 0 is the most common value in the distribution.

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  • 7. 

    About which of the following is a normal distribution symmetric?

    • A.

      Covariance

    • B.

      Standard deviation

    • C.

      Mean

    • D.

      Variance

    Correct Answer
    C. Mean
    Explanation
    A normal distribution is symmetric, meaning that it is evenly distributed around its mean. The mean represents the center of the distribution, and the values on either side of the mean are equal. This symmetry is a characteristic of a normal distribution, making the mean the correct answer. Covariance, standard deviation, and variance are not necessarily symmetric and do not represent the center of a distribution.

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  • 8. 

     The standard normal curve is symmetrical about the value of...

    • A.

      1

    • B.

      0

    • C.

      2

    • D.

      4

    Correct Answer
    B. 0
    Explanation
    The standard normal curve is symmetrical about the value of 0 because the mean of a standard normal distribution is 0. This means that the curve is equally likely to be above or below 0, resulting in a symmetrical shape.

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  • 9. 

    What is the skewness of normal distribution?

    • A.

      1

    • B.

      Undefined

    • C.

      Positive

    • D.

      Negative

    Correct Answer
    A. 1
    Explanation
    The skewness of a normal distribution is always 0. A normal distribution is symmetric, meaning it has equal amounts of data on both sides of the mean. This symmetry results in a skewness of 0. Therefore, the correct answer is 1, which represents undefined, is incorrect.

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  • 10. 

    What is the value of median in a standard normal distribution?

    • A.

      Infinity

    • B.

      Not fixed

    • C.

      1

    • D.

      0

    Correct Answer
    D. 0
    Explanation
    The value of the median in a standard normal distribution is 0. In a standard normal distribution, the mean is 0 and the standard deviation is 1. The distribution is symmetric, with half of the values falling below 0 and half above 0. Therefore, the median, which represents the middle value, is 0.

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  • Current Version
  • Jun 23, 2024
    Quiz Edited by
    ProProfs Editorial Team
  • Dec 19, 2017
    Quiz Created by
    Cripstwick
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