Statistics: Variance and Standard Deviation
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Questions and Answers

What is the primary advantage of using variance over range in measuring dispersion?

  • Variance takes into account all the observations (correct)
  • Variance is a more common measure of dispersion
  • Variance is easier to calculate
  • Variance is less affected by outliers
  • Which measure of dispersion is most sensitive to the presence of outliers in a dataset?

  • Interquartile Range
  • Standard Deviation
  • Range (correct)
  • Variance
  • What is the formula to calculate the range of a dataset?

  • Range = (Max - Min) / 2
  • Range = (Max + Min) / 2
  • Range = Max - Min (correct)
  • Range = Max + Min
  • Which of the following is a limitation of using range as a measure of dispersion?

    <p>It is highly sensitive to outliers</p> Signup and view all the answers

    What is the primary difference between range and variance as measures of dispersion?

    <p>Range only considers the minimum and maximum values, while variance considers all the data points</p> Signup and view all the answers

    Why is variance a more comprehensive measure of dispersion than range?

    <p>Because it considers all the data points</p> Signup and view all the answers

    What happens to the range of a dataset when an outlier is introduced?

    <p>The range increases</p> Signup and view all the answers

    Which of the following is an advantage of using standard deviation over range?

    <p>Standard deviation is less affected by outliers</p> Signup and view all the answers

    What is the unit of variance in a dataset of weights of students measured in kg?

    <p>(kg)2</p> Signup and view all the answers

    If the sample standard deviation is 14.52, what is the sample variance?

    <p>210.89</p> Signup and view all the answers

    What is the effect of adding a constant to a dataset on the standard deviation?

    <p>It does not change the standard deviation</p> Signup and view all the answers

    What is the unit of standard deviation in a dataset of ages of students measured in years?

    <p>year</p> Signup and view all the answers

    If the population standard deviation of a dataset is σ, what is the population standard deviation of the dataset after adding a constant c to each observation?

    <p>σ</p> Signup and view all the answers

    What is the formula for population standard deviation?

    <p>√(Σ(xi - x̄)^2 / n)</p> Signup and view all the answers

    What happens to the standard deviation of a dataset if each observation is increased by 10?

    <p>It remains the same</p> Signup and view all the answers

    What is the relationship between the standard deviation and the variance of a dataset?

    <p>Variance is the square of the standard deviation</p> Signup and view all the answers

    What is the relationship between the new population variance and the old population variance when each observation is multiplied by a constant c?

    <p>σnew = c × σold</p> Signup and view all the answers

    What is the formula for the new population variance when each observation is multiplied by a constant c?

    <p>σnew = c × ∑(xi - x̄)² / n</p> Signup and view all the answers

    What is the effect on the population variance when each observation is multiplied by a constant c?

    <p>The population variance increases</p> Signup and view all the answers

    What is the relationship between the population variance and the standard deviation?

    <p>The standard deviation is the square root of the population variance</p> Signup and view all the answers

    What is the formula for the population variance?

    <p>σ² = ∑(xi - x̄)² / n</p> Signup and view all the answers

    What is the effect on the population standard deviation when each observation is multiplied by a constant c?

    <p>The population standard deviation increases</p> Signup and view all the answers

    What is the relationship between the new population standard deviation and the old population standard deviation when each observation is multiplied by a constant c?

    <p>σnew = c × σold</p> Signup and view all the answers

    What is the purpose of calculating the population variance?

    <p>To measure the dispersion of the dataset</p> Signup and view all the answers

    Study Notes

    Variance and Standard Deviation

    • The sample standard deviation is the square root of the sample variance.
    • The units of variance are square units of the original variable, while the units of standard deviation are the same as the original data.

    Adding a Constant

    • If a constant is added to each observation, the new standard deviation is equal to the old standard deviation.
    • Proof: σnew = σold
    • This is true for both population and sample standard deviations.

    Multiplying by a Constant

    • If each observation is multiplied by a constant, the new standard deviation is equal to the old standard deviation multiplied by the constant.
    • Proof: σnew = c × σold
    • This is true for both population and sample standard deviations.

    Standard Deviation

    • Standard deviation is a measure of dispersion and is the square root of the variance.
    • Other measures of dispersion include range, variance, interquartile range, and standard deviation.

    Range

    • The range of a dataset is the difference between its largest and smallest values.
    • Formula: Range = Max - Min
    • The range is sensitive to outliers as it only considers the minimum and maximum values of the dataset.

    Effect of Outliers on Range

    • The range can be significantly affected by a single outlier in the dataset.
    • Example: A single outlier can change the range from 4 to 14 in a dataset.

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    Description

    This quiz covers the concepts of variance and standard deviation, including their units and calculations. Learn how to compute and understand these statistical metrics.

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