9.8: Critical Thinking

Principles of Data Science · LibreTexts

0%

Contents

    Text

    Size
    100%
    Theme
    Typeface
    Line length
    Spacing

    From LibreTexts, under CC BY 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    9.8: Critical Thinking
    1 .
    a.
    For the following five-number summary of a dataset of textbook cost per student per semester, create a horizontal boxplot.
    b.
    Analyze the boxplot and comment on variability, symmetry, and skewness.
    2 .
    a.
    Create a graph for the binomial distribution with and .
    b.
    Analyze the graph and comment on symmetry and skewness.
    3 .
    a.
    Create a graph for the Poisson distribution with mean .
    b.
    Analyze the graph and comment on symmetry and skewness.
    4 .
    a.
    Create a graph of the normal distribution for weights of car engines with mean of 200 kilograms and standard deviation of 15 kilograms.
    b.
    Analyze the graph and comment on symmetry and skewness.
    c.
    Determine the probability that a random engine weighs more than 245 kilograms.
    5 .
    a.
    Create a time series chart for dataset in the table as shown. The following data represents the number of subscribers to a social media site over a 7-year time period.
    Year Subscribers (in millions)
    1 6.3
    2 7.9
    3 11.0
    4 9.8
    5 8.2
    6 6.4
    7 4.9
    Table 9.9 Social Media Subscribers
    b.
    Comment on any trends based on a review of the graph.
    6 .
    Access and download any dataset from the Seaborn repository at https://github.com/mwaskom/seaborn-data.
    a.
    Create a correlation heatmap for the selected dataset to investigate correlations among the variables.
    b.
    From the heatmap, which two variables exhibit the strongest correlation?
    c.
    From the heatmap, which two variables exhibit the weakest correlation?
    7 .
    Access and download any dataset from the Seaborn repository at https://github.com/mwaskom/seaborn-data.
    a.
    Create a 3D visualization for the dataset.
    b.
    What conclusion can you draw from the 3D visualization?

    This page titled 9.8: Critical Thinking was last modified on Tue, 22 Apr 2025 14:34:58 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.