Lecture 3 - - Mean, Median and mode all equal - Mean = 0,...

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Quick Review CENTRAL TENDENCY: MEAN, MEDIAN, MODE SHAPE: NORMAL, SKEWED, MODALITY VARIABILITY: STANDARD DEVIATION, VARIANCE
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Quick Review SAMPLE POPULATION X X μ 2 2 X X S σ X X S X X n = 2 2 ( ) 1 X X X S n - = - 2 ( ) 1 X X X S n - = - X N = 2 2 ( ) X X X N - = 2 ( ) X X X N - =
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Using Distributions to Compute Probabilities P = # SUCCESSES -------------------------- # OUTCOMES PROBABILITY: EXPECTED RELATIVE FREQUENCY OF A PARTICULAR OUTCOME
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-THEORETICAL PROBABILITY DISTRIBUTIONS (Z, F, T) -Used for testing hypothesis -Provide a way of determining probability of an obtained sample result (experimental outcome) -Usually, the probably that experimental result occurred by chance given null distribution
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A THEORETICAL PROBABILITY DISTRIBUTION The standard normal curve - Bell shaped, symmetrical, unimodal, asymptotic
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Unformatted text preview: - Mean, Median and mode all equal - Mean = 0, σ 2 = 1, σ = 1 THE NORMAL CURVE Area under curve probability-Z is continuous so can only computer probability for a range of values THE (STANDARD) NORMAL CURVE • BASIC RULES TO REMEMBER: THE (STANDARD) NORMAL CURVE • BASIC RULES TO REMEMBER: • 50% above Z=0, 50% below Z = 0 • 34% between Z=0 and Z= 1, • or between Z=0 and Z = -1 • 68% between Z = -1 and Z = +1 • 96% between Z = -2 and Z = +2 • 99% between Z = -3 and Z = +3 THE (STANDARD) NORMAL CURVE TWO-TAILED CRITICAL VALUES 5% + and -1.96 1% + and – 2.58 THE NORMAL CURVE ONE-TAILED CRITICAL VALUES 5% + OR - 1.645 1% + OR – 2.33...
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This note was uploaded on 11/24/2009 for the course PSYCH 100A taught by Professor Marken during the Spring '07 term at UCLA.

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Lecture 3 - - Mean, Median and mode all equal - Mean = 0,...

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