DSST Principles Of Statistics Exam Prep

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  • 1/10 Questions

    Which of these is not related to statistics?

    • Linear algebra
    • Geometry
    • Differential equations
    • Stochastic analysis
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About This Quiz

Statistics is a mathematical discipline that is concerned with the collection and interpretation of data. Modern statistical approaches involves the use of analytical software to effectively understand raw data and make a reasonable conclusion. This can be achieved by correct, data visualization. Evaluate your statistical reasoning by taking this quiz.

DSST Principles Of Statistics Exam Prep - Quiz

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  • 2. 
    Which of these is not a numerical descriptor of a distribution? - ProProfs

    Which of these is not a numerical descriptor of a distribution?

    • Median

    • Mode

    • T-test

    • Mean

    Correct Answer
    A. T-test
    Explanation
    A t-test is a statistical test used to determine if there is a significant difference between the means of two groups. It is not a numerical descriptor of a distribution like the median, mode, or mean, which are measures that summarize the data in a distribution. The median is the middle value in a dataset, the mode is the most frequently occurring value, and the mean is the average value.

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  • 3. 
    What part of statistics deals with the analysis of random phenomena? - ProProfs

    What part of statistics deals with the analysis of random phenomena?

    • Standard deviation

    • Probability theory

    • Dispersion

    • Descriptive statistics

    Correct Answer
    A. Probability theory
    Explanation
    Probability theory is the branch of statistics that deals with the analysis of random phenomena. It provides a mathematical framework for quantifying uncertainty and making predictions based on the likelihood of different outcomes. By studying probability theory, statisticians can better understand and analyze the variability and randomness inherent in data. Standard deviation, dispersion, and descriptive statistics are all important concepts in statistics, but they do not specifically focus on the analysis of random phenomena like probability theory does.

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  • 4. 
    Which of these persons was not involved in development of probability theory? - ProProfs

    Which of these persons was not involved in development of probability theory?

    • Blaise Pascal

    • Pierre de Fermat

    • Gerolamo Cardano

    • Isaac Newton

    Correct Answer
    A. Isaac Newton
    Explanation
    Isaac Newton was not involved in the development of probability theory. While he made significant contributions to mathematics and physics, his work did not focus on probability theory. Probability theory was primarily developed by Blaise Pascal, Pierre de Fermat, and Gerolamo Cardano. Pascal and Fermat laid the foundation for probability theory with their correspondence on gambling problems, and Cardano made important contributions to the field with his work on games of chance.

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  • 5. 
    What part of statistics focuses the variation within a distribution? - ProProfs

    What part of statistics focuses the variation within a distribution?

    • Central tendency

    • Observational study

    • Hypothesis

    • Dispersion

    Correct Answer
    A. Dispersion
    Explanation
    Dispersion is the part of statistics that focuses on the variation within a distribution. It measures the spread or extent to which data points deviate from the central tendency. It provides information about how the data is distributed and helps in understanding the range, variability, and diversity of the data set. Central tendency, on the other hand, refers to the measure that represents the center or average of the data. Observational study and hypothesis are not directly related to the variation within a distribution.

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  • 6. 
    When was the earliest work in statistics began? - ProProfs

    When was the earliest work in statistics began?

    • 1667

    • 1663

    • 1671

    • 1563

    Correct Answer
    A. 1663
    Explanation
    The earliest work in statistics began in 1663. This suggests that statistical analysis and data collection techniques were being developed during this time period. It is important to note that statistics as a field has evolved and progressed significantly since then, but 1663 marks an important milestone in its early development.

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  • 7. 
    Which of these is not an estimator? - ProProfs

    Which of these is not an estimator?

    • Mode

    • Variance

    • Mean

    • Covariance

    Correct Answer
    A. Mode
    Explanation
    The mode is not an estimator because it is a measure of central tendency that identifies the most frequently occurring value in a dataset. It does not provide any information about the variability or spread of the data, which is the main purpose of an estimator. Variance, mean, and covariance, on the other hand, are all estimators because they provide information about the variability, average, and relationship between variables, respectively.

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  • 8. 
    Which of these is not a type of data? - ProProfs

    Which of these is not a type of data?

    • Integer

    • Continuous

    • Categorical

    • Boolean

    Correct Answer
    A. Integer
    Explanation
    The given options represent different types of data. Integer is a type of data that represents whole numbers, both positive and negative. Continuous data refers to numerical data that can take any value within a range. Categorical data represents qualitative variables that are divided into categories or groups. Boolean data is a type of data that can take only two values, typically represented as true or false. Therefore, the correct answer is Integer, as it is a type of data.

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  • 9. 
    Which of these random variables is not a pivot? - ProProfs

    Which of these random variables is not a pivot?

    • T value

    • Chi square statistic

    • F test

    • Z test

    Correct Answer
    A. F test
    Explanation
    A pivot is a function of random variables that has a known distribution regardless of the parameters. The T value, Chi square statistic, and Z test are all examples of pivots because their distributions are known. However, the F test is not a pivot because its distribution depends on the specific parameters being tested, such as the degrees of freedom. Therefore, the F test is not a pivot random variable.

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  • 10. 
    When was the method of least squares first discussed? - ProProfs

    When was the method of least squares first discussed?

    • 1908

    • 1598

    • 1784

    • 1605

    Correct Answer
    A. 1605
    Explanation
    The method of least squares was first discussed in 1605.

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  • Mar 21, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Oct 03, 2018
    Quiz Created by
    Gregorynaomi
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