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Com 300 4.20

# Com 300 4.20 - Com 300 4.20.10 Notes Probability Playing...

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Com 300 4.20.10 Notes: Probability: Playing the odds Probability Distributions – representations of the theoretical patterns of sample data (should look like standard normal curve) - They should be predictable o Example: Tossing a coin and getting heads five times in a row. .5 x .5 x .5 x .5 x .5 = Odds are .03125 or 3% Inferential Statistics - To know how likely it is that their sample results may have occurred by chance alone o Sampling statistics When you do non random sampling you cannot do this Example: T test - They provide statistical tests of data significance o For the first time be able to take our variables and see if they react/relate to each other The error should be small o Show the potential error rate of a statistical finding and significance of hypotheses You could find correlations or interesting connections after the RQ has been formed and the tests/research made Example: correlation Inferential: Sampling Statistics - Sampling Error – the degree to which a sample differs from population characteristics on some measure. (only 5% allowed) - Confidence Intervals – the probability that sample statistics “capture” population parameters, within certain margins for error - (95% or z = 1.96) Tests for Comparing Two Means The t – Test - Tells us if our sample mean is significantly different from the population’s mean o Like ensuring you have equal republicans and democrats in a study on

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Com 300 4.20 - Com 300 4.20.10 Notes Probability Playing...

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