Modelling Data Distribution Assessment Test

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  • 1/10 Questions

    A model is a simplification or approximation of reality and hence will not reflect all of reality.

    • True
    • False
    • Maybe
    • Depends on some factors
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About This Quiz

Data distribution model is a statistical model that provides a set of assumptions pertaining the generation of some data and a larger population. Take this assessment test to evaluate your knowledge.

Modelling Data Distribution Assessment Test - Quiz

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  • 2. 
    Which of the following is a purpose for modeling?    - ProProfs

    Which of the following is a purpose for modeling?   

    • Rastar

    • Creation

    • Prediction

    • Preferences

    Correct Answer
    A. Prediction
    Explanation
    Modeling is a process of creating a simplified representation of a real-world system or phenomenon. One of the purposes of modeling is prediction, where the model is used to forecast future outcomes or behaviors based on the available data and assumptions. By developing a model, we can analyze different scenarios and make informed decisions based on the predicted outcomes. Therefore, prediction is a valid purpose for modeling.

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  • 3. 
    An admissible model must be consistent with all the data points.    - ProProfs

    An admissible model must be consistent with all the data points.   

    • True

    • False

    • Not sure

    • None of the above

    Correct Answer
    A. True
    Explanation
    An admissible model must be consistent with all the data points because admissibility refers to the ability of a model to accurately represent the observed data. If a model is not consistent with all the data points, it means that it is not able to accurately capture the patterns and relationships present in the data. Therefore, for a model to be considered admissible, it must be able to explain and account for all the data points.

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  • 4. 
    Two statistical models are nested if the first model cannot be transformed into the second model... - ProProfs

    Two statistical models are nested if the first model cannot be transformed into the second model...

    • True

    • False

    • Maybe

    • None of the above

    Correct Answer
    A. False
    Explanation
    The statement is false because nested statistical models refer to a situation where one model is a special case or a simplified version of another model. In this case, the first model can be transformed into the second model by adding or removing variables or constraints. Therefore, the correct answer is false.

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  • 5. 
    What can we get from a modeling data distribution?  - ProProfs

    What can we get from a modeling data distribution? 

    • Expected outcome

    • Fun outcome

    • Base angle

    • No outcome

    Correct Answer
    A. Expected outcome
    Explanation
    From modeling data distribution, we can obtain the expected outcome. This means that by analyzing the data and creating a model, we can predict or estimate the most likely or average outcome. This can be useful in various fields such as statistics, finance, and machine learning, where understanding the distribution of data helps in making informed decisions and predictions.

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  • 6. 
    In a statistical model specified via mathematical equations, some of the variables do not have specific values, but instead have... - ProProfs

    In a statistical model specified via mathematical equations, some of the variables do not have specific values, but instead have...

    • Outcome

    • Normal distribution

    • Probability distributions

    • Odd distribution

    Correct Answer
    A. Probability distributions
    Explanation
    In a statistical model specified via mathematical equations, some variables do not have specific values but instead have probability distributions. This means that the variables can take on different values with certain probabilities. Probability distributions provide information about the likelihood of different outcomes occurring, allowing for uncertainty to be incorporated into the model. By using probability distributions, statistical models can capture the variability and uncertainty inherent in real-world data.

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  • 7. 
    The Poisson distribution is only meant for ____ integers.   - ProProfs

    The Poisson distribution is only meant for ____ integers.  

    • Negative

    • Positive 

    • Large

    • Small

    Correct Answer
    A. Positive 
    Explanation
    The Poisson distribution is only meant for positive integers because it models the number of events that occur in a fixed interval of time or space. It assumes that the events occur independently and at a constant rate. Since the number of events cannot be negative or non-integer, the Poisson distribution is only applicable to positive integers.

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  • 8. 
    A statistical model is nonparametric if the parameter set ¶ is infinite dimensional. - ProProfs

    A statistical model is nonparametric if the parameter set ¶ is infinite dimensional.

    • True

    • False

    • Not defined

    • Depends on some factors

    Correct Answer
    A. True
    Explanation
    A statistical model is considered nonparametric if the parameter set is infinite dimensional. This means that the model does not make any specific assumptions about the distribution or shape of the data, allowing for more flexibility in modeling complex relationships. Nonparametric models are often used when there is limited prior knowledge about the data or when the underlying distribution is unknown. Therefore, the statement "True" accurately reflects the definition of a nonparametric statistical model.

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  • 9. 
    Which of the following set are nested distributions?  - ProProfs

    Which of the following set are nested distributions? 

    • Vector

    • Mean

    • Base

    • Gaussian

    Correct Answer
    A. Gaussian
    Explanation
    The set of distributions mentioned in the question consists of various types such as Vector, Mean, Base, and Gaussian. Among these, only the Gaussian distribution is a nested distribution. A nested distribution refers to a distribution that is a subset or a special case of another distribution. In this case, the Gaussian distribution is a nested distribution because it is a specific type of distribution that falls under the broader category of continuous probability distributions.

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  • 10. 
    We can nest a model by... - ProProfs

    We can nest a model by...

    • Moving the parameters sideways

    • Moving the parameters forward

    • Moving the parameters backward

    • None of the above

    Correct Answer
    A. None of the above
    Explanation
    The given options do not provide a valid explanation for nesting a model. Nesting a model refers to including one model within another model, typically for creating more complex or hierarchical structures. It does not involve moving parameters sideways, forward, or backward. Therefore, none of the given options correctly explain how to nest a model.

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  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Dec 27, 2017
    Quiz Created by
    Cripstwick
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