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Summary ST107 Exam Notes

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These are the detailed notes that cover all of the examinable content for ST107, at which is usually tested. Back then, I had to study the course from scratch within 3 weeks, and achieved a first-class grade by using this set of notes. It is designed to be concise yet comprehensive, allowing yo...

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  • September 6, 2023
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ST107 Notes

,Contents

DATA AND STATISTICS............................................................................................................................. 3
PROBABILITY................................................................................................................................................ 5
DISCRETE DISTRIBUTIONS..................................................................................................................... 7
CONTINOUS DISTRIBUTIONS.............................................................................................................. 10
SAMPLING DISTRIBUTIONS................................................................................................................. 13
POINT ESTIMATION................................................................................................................................ 15
INTERVAL ESTIMATION........................................................................................................................ 16
MEASURABLE HYPOTHESIS TESTING............................................................................................. 19
CATEGORICAL HYPOTHESIS TESTING............................................................................................ 22
Correlation and Regression.................................................................................................................. 24

, -----------------------------------------------------------------------------------------------------------------
DATA AND STATISTICS
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Discrete Data: data that is countable.

Continuous Data: data that is measurable.

Measurable Variables: values with generally-recognised methods of measurement.

Ordinal Categorical Variables: non-measurable variables that can be put in some
sensible order.

Nominal Categorical Variables: non-measurable variables that can be put in some
sensible order.

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Histogram

Histograms: diagrams that depict a frequency distribution of variables, that includes
the following aspects:
- an informative title (including the word “Histogram” with the variables)
- frequency density label
- x-axis label (variable) and y-axis label (frequency density)
- sensible number of classes
- plotting of frequency densities
- accuracy

Class Intervals: subdivisions of the total range of variables.

Frequency: number of observations of the variable to each corresponding interval.

Areaof ¯
¿ Frequency=Interval Width × Frequency Density

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Stem-And-Leaf Diagrams

Stem-and-Leaf Diagrams: diagrams that depict raw data with the following aspects:
- an informative title
- stem/leaf labels, including units (if provided)
- sensible stems
- vertical alignment
- ordered leaves
- accuracy

Stem: the major component of a typical data item.

Leaf: the remainder of the data value, apart from the stem.
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