See the previous cheat sheet for Midterm 1 in Introductory Statistics–it might be helpful if the initial chapters are too condensed in this cheat sheet.
As promised, here is my cheat sheet for my second introductory statistics midterm. It’s a bit more condensed than the first cheat sheet, so you might want to refer to that one also and amend this one if needed. If the font is too small or you want to add some formulas or sentences, feel free to use the docx version for editing. Please keep the credit to Intense Cogitation.
Some information about the file: 2153 words in Verdana size 8, with page margins of 0.39 inches (which are the smallest my printer can print without issues).
- Basic statistics definitions / qualitative vs. quantitative data
- Measures of centre – range, median, mode, mean, variance, standard deviation. Some standard deviation rules – eg) Empirical Rule and Tchebycheff’s Theorem. Box plots.
- Bivariate data, regression line calculations (eg. covariance, correlation coefficient)
- Probability – definitions, permutations, combinations, union, independent, dependent, total probability, conditional probabilities, Bayes theorem
- Probability distributions (mostly discrete) – binomial, Poisson, hypergeometric, continuous random variable
- Continuous distributions, central limit theorem
- Sampling – simple random, non-random. Sampling distributions
- Confidence intervals – mean, binomial distribution proportion, difference between 2 means, difference between 2 proportions, control chart
- Hypothesis testing – null hypothesis, alternate hypothesis, significance level
Common abbreviations I may have used:
- avg = average
- sd/std dev = standard deviation
- rel freq = relative frequency
- dist = distribution
- approx = approximation
- Ho = null hypothesis
- Ha = alternate hypothesis
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