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Week 3 (Probability and Samples (sample mean should be close to population…
Week 3
Probability and Samples
Distribution of sample means
Sampling distribution
sample mean should be close to population mean
Normal shaped distribution
the larger the sample size, the closer the sample mean should be to population mean
Central Limit Theorem: Standard deviation/square root of sample size
distribution is almost perfectly normal once sample size reaches 30
standard error describes distribution of sample means
Z score for sample means:
sampling error and standard error
Probability
Each individual has equal chance of being selected
UNIT Normal Table
listing of z-scores
Random Sampling
Probability and Frequency Distributions
Scores represented in frequency distribution
Binomial Distribution
Probability of A
Probability of B
Hypothesis Testing
Null vs. Alternative Hypotheis
Type 1 & Type 2 Error; Accepting and rejecting hypothesis
Z-score formula: Sample mean minus hypothesized population mean/standard error between mean and standard deviation
Alpha level
One tailed test: make a statement about direction of effect
Cohen's D: measure of effect size; small (0.2), medium (0.5), large (0.8)
