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Key statistical concepts.

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Presentation on theme: "Key statistical concepts."— Presentation transcript:

1 Key statistical concepts.
Measures of centre and variability.

2 Presumed (prior) knowledge.

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7 Example 1 It is a continuous data; we can use class intervals of length 1 cm. Enter data into a new spreadsheet on your GDC to draw a histogram and get all statistics. Use midpoint of each class interval. The modal class is as this occurred most frequently.

8 Ctrl Menu 3: Add X Variable with Summary List.
The data is positively skewed.

9 Draw a box plot now. No outliers, hover over the boxplot to see Q1, Q3, min and max values.

10 Other one-variable statistics can be obtained either in the spreadsheet or in the calculator screen.
Mean = 5.3 Standard deviation 1.21 IQR=Q3-Q1= =2

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14 For data which is not symmetric.
In our example: The median is pulled towards the tail (in the direction of skewness).

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16 When data is grouped in classes, we use the midpoint and then we can only estimate the mean as we do not have the data points listed.


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