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Multiplication of Probability

Multiplication of Probability

Multiplication of Probability. Group 20. Group Members. Au Chun Kwok (98003350) Chan Lai Chun (98002770) Chan Wing Kwan (98002930) Chiu Wai Ming (98241940) Lam Po King (98003270). Before Use. This power point file is aiding for teaching Probability.

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648 views • 62 slides
Chapter 4 Probability

Chapter 4 Probability

Chapter 4 Probability. Definitions. Experiment. A process that generates well defined outcomes. For example, the experiment of flipping a coin has 2 defined outcomes, heads or tails. S = {H, T}. Random Variable. An experimental outcome that generates exactly one numerical value.

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Logs Theory of Logarithms s

Logs Theory of Logarithms s

Logs Theory of Logarithms s. The Exponential Function. y=a x. Base power or index. For example: y=2 x. So if x = 2 Then y= 4. Note: Exponential functions are always positive i.e. above the x-axis. Exponential Equations.

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544 views • 11 slides
The intersection of events A and B is the set of all

The intersection of events A and B is the set of all

4.3.3 Intersection of Two Events. The intersection of events A and B is the set of all sample points that are in both A and B. The intersection of events A and B is denoted by A ?? ? ?. Sample Space S. Event A. Event B. Intersection of A and B.

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231 views • 10 slides
The Laws of Logs

The Laws of Logs

The Laws of Logs. Multiplication Law. Investigate Any relationships?. Rewriting as powers. write as logs. Proving the Multiplication Law. Log 10 x = b. Log 10 y = c. simplify. xy = 10 b x 10 c. The Multiplication Law. Log a x + Log a y = Log a xy. The Division Law. Investigate

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462 views • 8 slides
Multiplication Law for Several Events

Multiplication Law for Several Events

Multiplication Law for Several Events. General multiplication law is extended to several components. The general multiplication rules are useful in solving many problems in which the ultimate outcome of an experiment depends on the outcomes of various intermediate stages.

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93 views • 8 slides

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