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Published byTrever Darland Modified about 1 year ago

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1 Venn Diagram: The Sample Space consists of three event categories: Together they are collectively exhaustive, but in this case event E2 and E3 are not mutually exclusive, they can happen at the same time. Class No precipitation (event E1) Liquid precipitation (event E2) Frozen precipitation (event E3) Sample Space (this material was discussed in class but this slide was not shown during class)

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2 Another illustration of Probability : The Sample Space consists of three event categories: Together they are collectively exhaustive, but in this case event E2 and E3 are not mutually exclusive, they can happen at the same time. Class No precipitation (event E1) Liquid precipitation (event E2) Frozen precipitation (event E3) Sample Space Compound event: Any of the possible events (E1 OR E2 OR E3) (this material was discussed in class but this slide was not shown during class)

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3 Class (1)The probability of any event is nonnegative (2)The probability of the compound event is 1 (3)The probability of one or the other of two mutually exclusive events is the sum of the individual probabilities. (this material was discussed in class but this slide was not shown during class)

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4 Class (1) 0≤ P(E) ≤ 1 (2) P(S) = 1 (3) P(E 1 or E 2 ) = P(E 1 ) +P(E 2 ), but only if E 1 and E 2 are mutually exclusive events, i.e. P(E 1 and E 2 ) = 0 (this material was discussed in class but this slide was not shown during class)

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5 Class (1) The probability of the complement event: P(E c ) =1 – P(E) (this material was discussed in class but this slide was not shown during class)

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Class Data can be obtained from For each month since 1996 temperatures, wind, precipitation, … (Historical data archives are stored In other archives)

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Class Data can be obtained from Example page: Table with December 2013 data This is embedded into HTML web page and it requires extra work to prepare data for statistical analysis. (Notepad, EXCEL)

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8 Class Filename: KALB_ csv We will learn to read data-tables into R Using parts of the data table by use of column names Create simple plots Create a first loop in the program Use if-else statements for flow control in the program And we will begin with the exploratory data analysis: Frequentist’s approach to probability and applying the arithmetic mean to obtain a monthly mean temperature from daily data samples.

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