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  1. Scatter-Graphs-And-Correlation Wjec-Eduqas Higher
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  2. Cumulative-Frequency-And-Box-Plots Wjec-Eduqas Higher
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  3. Histograms Wjec-Eduqas Higher
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  5. Averages-Ranges-And-Data Wjec-Eduqas Higher
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  9. Introduction-To-Probability Wjec-Eduqas Higher
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  13. Sine-Cosine-Rule-And-Area-Of-Triangles- Wjec-Eduqas Higher
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  48. Completing-The-Square Wjec-Eduqas Higher
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  51. Algebraic-Roots-And-Indices Wjec-Eduqas Higher
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  52. Introduction-To-Algebra Wjec-Eduqas Higher
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  54. Surds Wjec-Eduqas Higher
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  57. Simple-And-Compound-Interest-Growth-And-Decay Wjec-Eduqas Higher
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  58. Percentages Wjec-Eduqas Higher
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  59. Fractions Wjec-Eduqas Higher
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  60. Powers-Roots-And-Standard-Form Wjec-Eduqas Higher
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  62. Number-Operations Wjec-Eduqas Higher
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Exam code:C300

Drawing histograms

What is a histogram?

  • A histogram looks similar to a bar chart, but there are important differences

  • Bar charts are used for discrete (and sometimes non-numerical) data

    • In a bar chart, the height (or length) of a bar determines the frequency

    • There are usually gaps between the bars

  • Histograms are used with continuous data, grouped into class intervals (usually of unequal width)

    • In a histogram, the area of a bar determines the frequency

      • This means it is difficult to tell anything simply from looking at a histogram

      • Some basic calculations will be needed for conclusions and comparisons to be made

    • There are no gaps between the bars

How do I draw a histogram?

  • Drawing a histogram first requires the calculation of the frequency densities for each class interval (group)

    • Use table row cell frequency space density end cell equals cell fraction numerator frequency over denominator class space width end fraction end cell end table

    • Exam questions often ask you to finish an incomplete histogram, rather than start with a blank graph

  • Once the frequency densities are known, the bars (rectangles) for each class interval can be drawn

    • with widths being measured on the horizontal (x) axis

    • and the height of each bar (the frequency density) being measured on the vertical (y) axis

    • As the data is continuous, the bars will be touching

Examiner Tips and Tricks

  • Always work out and write down the frequency densities

    • It is easy to make errors and lose marks by going straight to the graph

    • Method marks may depend on showing you know to use frequency density rather than frequency

Worked Example

A histogram is shown below representing the distances achieved by some athletes throwing a javelin.

A partially completed histogram for distances of javelins thrown by athletes.

There are two classes missing from the histogram.

These are:

Distance, x m

Frequency

60 less or equal than x less than 70

8

80 less or equal than x less than 100

2

 Add these to the histogram.

Before completing the histogram, remember to show clearly you’ve worked out the missing frequency densities

Distance, <img alt=”x” data-mathml='<math ><semantics><mi>x</mi><annotation encoding=”application/vnd.wiris.mtweb-params+json”>{“language”:”en”,”fontFamily”:”Times New Roman”,”fontSize”:”18″,”autoformat”:true}</annotation></semantics></math>’ height=”22″ role=”math” src=”data:image/svg+xml;charset=utf8,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20xmlns%3Awrs%3D%22http%3A%2F%2Fwww.wiris.com%2Fxml%2Fmathml-extension%22%20height%3D%2222%22%20width%3D%2211%22%20wrs%3Abaseline%3D%2216%22%3E%3C!–MathML%3A%20%3Cmath%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F1998%2FMath%2FMathML%22%3E%3Cmi%3Ex%3C%2Fmi%3E%3C%2Fmath%3E–%3E%3Cdefs%3E%3Cstyle%20type%3D%22text%2Fcss%22%3Etext%7Bfill%3A%23000000%3B%3C%2Fstyle%3E%3C%2Fdefs%3E%3Ctext%20font-family%3D%22Times%20New%20Roman%22%20font-size%3D%2218%22%20font-style%3D%22italic%22%20text-anchor%3D%22mi

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