Business Analytics MCQ1 Flashcards
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Questions and Answers

The daily closing values of the Dow Jones Industrial Average over a period of 30 days are best described as _____ data.

  • Nominal
  • Cross-sectional
  • Discrete
  • Time-series (correct)
  • A variable is classified as ordinal if:

  • We track the variable through a period of time
  • There is no natural ordering of categories
  • The data arise from continuous measurements
  • There is a natural ordering of categories (correct)
  • Gender and states of residence are examples of ____ data.

  • Discrete
  • Continuous
  • Nominal (correct)
  • Ordinal
  • How is the median defined if the number of observations is even?

    <p>The average of the two middle observations</p> Signup and view all the answers

    A histogram that is positively skewed is also called:

    <p>Skewed to the right</p> Signup and view all the answers

    What is the most common type of chart for showing the distribution of a numerical variable?

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

    As a measure of variability, what is defined as the maximum value minus the minimum value?

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

    The median can also be described as the:

    <p>Middle observation when the data values are arranged in ascending order and observations are odd</p> Signup and view all the answers

    If a value represents the 95th percentile, this means that:

    <p>95% of all values are below this value</p> Signup and view all the answers

    Some measures of variability include:

    <p>Range, Standard Deviation</p> Signup and view all the answers

    We study relationships among numerical variables using:

    <p>All of these choices</p> Signup and view all the answers

    Correlation and covariance measure:

    <p>The strength and direction of a linear relationship between two numerical variables</p> Signup and view all the answers

    The limitation of covariance as a descriptive measure of association is that it:

    <p>Is very sensitive to the units of the variables</p> Signup and view all the answers

    If the correlation of variables is close to 0, then we expect to see:

    <p>A cluster of points with no apparent relationship on the scatterplot</p> Signup and view all the answers

    Correlation is useful only for:

    <p>Measuring the strength of a linear relationship</p> Signup and view all the answers

    The normal curve is also called a:

    <p>Bell-shaped curve</p> Signup and view all the answers

    Study Notes

    Data Types and Characteristics

    • Time-series data tracks closing values of the Dow Jones Industrial Average over a designated period, such as 30 days.
    • Ordinal variables exhibit a natural order among categories, distinguishing them from nominal variables which lack such ordering.
    • Nominal data, like gender and states of residence, represents categories without inherent ranking.

    Statistical Measures

    • The median is calculated as the average of the two middle observations when the dataset contains an even number of entries.
    • A positively skewed histogram, also termed skewed to the right, indicates an asymmetrical distribution where a majority of data points are concentrated on the left.
    • Histograms are the most prevalent chart type for displaying the distribution of numerical variables.

    Measures of Variability

    • The range, defined as the difference between the maximum and minimum values, serves as a basic measure of variability.
    • The median is the middle observation in an arranged dataset with an odd number of entries, highlighting its central tendency.

    Percentiles and Variability

    • A value at the 95th percentile indicates that 95% of all recorded values fall below it.
    • Variability can be assessed using measures like range and standard deviation, essential for understanding data dispersion.

    Relationships and Associations

    • Relationships among numerical variables are explored through correlation, covariance, and scatterplots, providing insights into data interactions.
    • Correlation and covariance focus on the strength and direction of linear relationships between two numerical variables.

    Limitations of Covariance

    • Covariance's limitation lies in its sensitivity to the units of measurement, complicating comparisons across different datasets.

    Correlation Insights

    • A correlation coefficient close to zero suggests no apparent relationship between variables on a scatterplot.
    • Correlation is primarily used to measure the strength of linear relationships, differentiating it from assessments of nonlinear interactions.

    Normal Distribution Characteristics

    • The normal curve, recognized as a bell-shaped curve, represents a classic distribution pattern in statistics.
    • In a normal distribution, the mean, median, and mode are all equal, indicating symmetry in data representation.

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    Description

    Test your understanding of key concepts in Business Analytics with these flashcards. This quiz includes multiple-choice questions about data types and variable classifications. Perfect for students preparing for exams or wanting to reinforce their knowledge.

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