Skip to main content
Mathematics LibreTexts

8.2.0: Exercises

  • Page ID
    171738
  • \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    \( \newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\)

    ( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\id}{\mathrm{id}}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\kernel}{\mathrm{null}\,}\)

    \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\)

    \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\)

    \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\AA}{\unicode[.8,0]{x212B}}\)

    \( \newcommand{\vectorA}[1]{\vec{#1}}      % arrow\)

    \( \newcommand{\vectorAt}[1]{\vec{\text{#1}}}      % arrow\)

    \( \newcommand{\vectorB}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vectorC}[1]{\textbf{#1}} \)

    \( \newcommand{\vectorD}[1]{\overrightarrow{#1}} \)

    \( \newcommand{\vectorDt}[1]{\overrightarrow{\text{#1}}} \)

    \( \newcommand{\vectE}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{\mathbf {#1}}}} \)

    \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    \(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)

    The table below shows the answers to the question, “Which social media platform, if any, do you use most frequently?”

    None Twitter Snapchat Snapchat Twitter Facebook
    Instagram Snapchat Twitter None Snapchat Instagram
    Instagram Facebook None Instagram Snapchat Twitter
    Snapchat Instagram Instagram Twitter Snapchat Twitter
    Facebook None Instagram Instagram Twitter Instagram
    Exercise \(\PageIndex{1}\)

    Make a bar chart to visualize these responses.

    Exercise \(\PageIndex{2}\)

    Make a pie chart to visualize these responses.

    A sample of students at a large university were asked whether they were full-time students living on campus (Full-Time Residential, FTR), full-time students who commuted (FTC), or part-time students (PT). The raw data are in the table below:

    FTR FTR FTC PT FTR PT FTR FTC
    FTR FTC FTC FTR FTR PT FTC FTC
    FTC PT FTC FTC PT FTR FTC PT
    FTC PT FTR PT FTC FTC FTR PT
    Exercise \(\PageIndex{3}\)

    Make a bar chart to visualize these responses.

    Exercise \(\PageIndex{4}\)

    Make a pie chart to visualize these responses.

    Students in a statistics class were asked how many countries (besides their home countries) they had visited; the table below gives the raw responses:

    0 2 1 1 3 2 0 2 0 1
    0 2 0 1 0 1 1 0 1 0
    0 0 0 2 1 1 0 1 1 0
    Exercise \(\PageIndex{5}\)

    Create a bar graph visualizing these data (treating the responses as categorical).

    Exercise \(\PageIndex{6}\)

    Create a pie chart visualizing these data.

    The purchasing department for a chain of bookstores wants to make sure they’re buying the right types of books to put on the shelves, so they take a sample of 20 books that customers bought in the last five days and record the genres:

    Nonfiction Young Adult Romance Cooking Young Adult
    Young Adult Thriller Young Adult Nonfiction True Crime
    Romance Nonfiction Thriller True Crime Romance
    True Crime Thriller Romance Young Adult Young Adult
    Exercise \(\PageIndex{7}\)

    Create a bar graph to visualize these data.

    Exercise \(\PageIndex{8}\)

    Create a pie chart to visualize these data.

    An elementary school class is administered a standardized test for which scores range from 0 to 100, as shown below:

    60 54 71 80 63
    72 70 88 88 67
    74 79 50 99 64
    98 55 64 86 92
    72 65 88 80 65
    (source: www.nwslsoccer.com)
    Exercise \(\PageIndex{9}\)

    Make a stem-and-leaf plot to visualize these results.

    Exercise \(\PageIndex{10}\)

    Make a histogram to visualize these results. Use bins of width 10.

    The following table gives the final results for the 2021 National Women’s Soccer League season. The columns are standings points (PTS; teams earn three points for a win and one point for a tie), wins (W), losses (L), ties (T), goals scored by that team (GF), and goals scored against that team (GA).

    Team PTS W L T GF GA
    Portland Thorns FC 44 13 6 5 33 17
    OL Reign 42 13 8 3 37 24
    Washington Spirit 39 11 7 6 29 26
    Chicago Red Stars 38 11 8 5 28 28
    NJ/NY Gotham FC 35 8 5 11 29 21
    North Carolina Courage 33 9 9 6 28 23
    Houston Dash 32 9 10 5 31 31
    Orlando Pride 28 7 10 7 27 32
    Racing Louisville FC 22 5 12 7 21 40
    Kansas City Current 16 3 14 7 15 36
    (source: http://www.nwslsoccer.com)
    Exercise \(\PageIndex{11}\)

    Make a stem-and-leaf plot for PTS.

    Exercise \(\PageIndex{12}\)

    Make a histogram for PTS, using bins of width 5.

    Exercise \(\PageIndex{13}\)

    Make a histogram for GF, using bins of width 5.

    Exercise \(\PageIndex{14}\)

    Make a histogram for GA, using bins of width 5.

    For the following exercises, use the "CUNY" dataset–which gives the location (borough) of each college in the City University of New York (CUNY) system, the highest degree offered, and the proportions of total degrees awarded in a partial list of disciplines–to identify the right visualization to address each question. Then, create those visualizations.

    Exercise \(\PageIndex{15}\)

    What is the highest degree offered in colleges across the CUNY system?

    Exercise \(\PageIndex{16}\)

    What is the distribution of the proportion of degrees awarded in Information Science across the CUNY system?

    Exercise \(\PageIndex{17}\)

    In which boroughs are the CUNY colleges located?

    Exercise \(\PageIndex{18}\)

    What are the proportions of degrees awarded across the listed humanities fields (Foreign Language, English, Humanities, Philosophy & Religion, History) at City College?

    Exercise \(\PageIndex{19}\)

    What proportions of degrees are awarded in Social Service at the different institutions located in Manhattan?

    For the following exercises, use the data found in the "Receivers" dataset on the top 25 receivers (by number of receptions; data collected from pro-football-reference.com) in the NFL during the 2020 season.

    Exercise \(\PageIndex{20}\)

    Make a stem-and-leaf plot for the longest receptions (“Long”).

    Exercise \(\PageIndex{21}\)

    Make a stem-and-leaf plot for receptions.

    Exercise \(\PageIndex{22}\)

    Make a histogram for yards.

    Exercise \(\PageIndex{23}\)

    Make a histogram for yards per reception (“Yds/Rec”).

    Exercise \(\PageIndex{24}\)

    Make a histogram for the longest receptions (“Long”).

    Exercise \(\PageIndex{25}\)

    Make a histogram for receptions.

    Exercise \(\PageIndex{26}\)

    Make a histogram for age.

    Exercise \(\PageIndex{27}\)

    Describe the distribution of age as left-skewed, symmetric, or right-skewed.

    Exercise \(\PageIndex{28}\)

    Describe the distribution of receptions as left-skewed, symmetric, or right-skewed.

    Exercise \(\PageIndex{29}\)

    Describe the distribution of yards as left-skewed, symmetric, or right-skewed.

    Exercise \(\PageIndex{30}\)

    Describe the distribution of touchdowns (“TD”) as left-skewed, symmetric, or right-skewed.

    Exercise \(\PageIndex{31}\)

    Describe the distribution of longest receptions as left-skewed, symmetric, or right-skewed.


    8.2.0: Exercises is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

    • Was this article helpful?