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Healthcare Histogram Quiz Generator

Generate printable healthcare statistics quizzes about histogram intervals, frequencies, shape, skewness, and approximate center, with verified answer keys.

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Quiz #731904
Healthcare statistics practice

Healthcare Histograms Quiz

Name Date

Refer to each histogram and answer the questions that follow. Circle the letter of the best answer.

Histogram 1Hospital Length of StayFictional practice data for adult inpatient stays
0 up to 2: 6 observations; 2 up to 4: 14 observations; 4 up to 6: 26 observations; 6 up to 8: 36 observations; 8 up to 10: 26 observations; 10 up to 12: 14 observations; 12 up to 14: 6 observations0918273602468101214Length of stay (days)Frequency

  1. 1.1. How many observations fall in the 12–14 interval?

    1. 7
    2. 10
    3. 6
    4. 8

  2. 1.2. How many observations fall from 4 up to 8?

    1. 64
    2. 62
    3. 60
    4. 26

  3. 1.3. How many observations are represented in the histogram altogether?

    1. 128
    2. 138
    3. 118
    4. 122

  4. 1.4. How many observations are below 4?

    1. 108
    2. 46
    3. 22
    4. 20
Histogram 2Diastolic Blood PressureFictional practice measurements from an adult wellness sample
40 up to 50: 4 observations; 50 up to 60: 6 observations; 60 up to 70: 11 observations; 70 up to 80: 17 observations; 80 up to 90: 24 observations; 90 up to 100: 33 observations; 100 up to 110: 40 observations010203040405060708090100110Diastolic pressure (mm Hg)Frequency

  1. 2.1. How many observations are at least 80?

    1. 38
    2. 97
    3. 121
    4. 73

  2. 2.2. What is the width of each interval?

    1. 7
    2. 20
    3. 10
    4. 9

  3. 2.3. How many intervals are shown?

    1. 6
    2. 10
    3. 8
    4. 7

  4. 2.4. Which description best matches the distribution's shape?

    1. Skewed left (negative skew)
    2. Approximately symmetric
    3. Categorical
    4. Skewed right (positive skew)
Histogram 3Total CholesterolFictional practice measurements from a screening sample
120 up to 140: 20 observations; 140 up to 160: 16 observations; 160 up to 180: 13 observations; 180 up to 200: 9 observations; 200 up to 220: 6 observations; 220 up to 240: 3 observations; 240 up to 260: 2 observations05101520120140160180200220240260Total cholesterol (mg/dL)Frequency

  1. 3.1. What is the best estimate of the distribution's center?

    1. 140
    2. 180
    3. 260
    4. 160

  2. 3.2. Why is a histogram appropriate for these data?

    1. The bars must be arranged alphabetically.
    2. Each bar represents one named patient.
    3. The variable is quantitative and grouped into intervals.
    4. The variable consists of unrelated categories.

  3. 3.3. Which rule is required when choosing histogram intervals?

    1. Intervals may overlap when a value is near a boundary.
    2. Every observation, including the minimum and maximum, must fit an interval.
    3. The smallest and largest values may be omitted.
    4. Intervals should be rearranged from highest to lowest frequency.

  4. 3.4. A related data set contains 80 measurements. What is the recommended interval range for an introductory histogram?

    1. 6–10 intervals
    2. 7–12 intervals
    3. 5–7 intervals
    4. 10–20 intervals
12 verified questions.mathbatch.com
Learn the skill

What is healthcare histograms?

Healthcare histograms display quantitative measurements in consecutive intervals. This focused review uses fictional length-of-stay, blood-pressure, cholesterol, and height data to practice the introductory concepts used in healthcare statistics.

How to solve healthcare histograms

  1. Read the horizontal axis to identify the measurement and each interval boundary.
  2. Use each bar's height to find the frequency in that interval, and add bar heights for totals or broader ranges.
  3. Describe skew by the direction of the longer tail: left for negative skew and right for positive skew.
  4. Check that consecutive, nonoverlapping intervals cover every observation, including the minimum and maximum.

Worked example

A length-of-stay histogram has frequencies 8, 12, and 5 in the intervals 0–2, 2–4, and 4–6 days.

  1. Identify the bars whose intervals cover stays from 0 up to 4 days.
  2. Add the first two frequencies: 8 + 12.
  3. Do not include the 4–6 day interval because its lower boundary is 4.

Answer: 20 stays from 0 up to 4 days

Common mistakes

  • Confusing a histogram's numerical intervals with the unrelated categories in a bar chart.
  • Naming skew from the tallest bar instead of the direction of the longer tail.
  • Reading an interval boundary as though it belongs to two bins.
  • Assuming every roughly symmetric histogram is a normal distribution.

Practice tips

  • Write each requested interval above the matching bar before adding frequencies.
  • Add every bar once to verify the total sample size.
  • Use the graph's balance point for an approximate center rather than claiming an exact raw-data mean.
  • Treat all generated healthcare values as fictional practice data, not clinical guidance.

Histogram or bar chart?

Use a histogram for quantitative measurements grouped into ordered intervals. Use a bar chart for separate categories. Touching histogram bars emphasize that the numerical intervals are consecutive.

Choosing intervals

Intervals should be consecutive, comparable in width, nonoverlapping, and exhaustive. A common introductory guideline uses 5–7 intervals for fewer than 50 measurements, 6–10 for 50–100, 7–12 for 101–250, and 10–20 for more than 250.