CMST 2TM6 Lecture 24: Inferential Statistics

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Compare sets of data in effort to discover significant differences or relationships between or among them. Can test to see if hypothesis/rq answers are "significant" (= statistically meaningful) **can show how much our sample might represent the population (by finding. **can tell us whether we can use to predict future observations (sample to population) Larger sample has better chance of representing population distribution. Not much error in data + will give numbers that can be generalized to larger population. Nominal, ordinal data = they wont follow " normal curve"! (no mean) - so use a "non-parametric test" Chi-square, x^2 -> compares observed frequency with expected frequency you don"t need the formula. If difference is low, then could be by change, so your research didn"t find anything. If difference is high, you found something! (higher the diff = more strength in finding) Probability in error - (p) - must be 5% or less, means 95% confident that the result is significant.

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