TAMU STAT 211 - STAT-211 CHeat Sheet Exam 2 (2 pages)

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STAT-211 CHeat Sheet Exam 2



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STAT-211 CHeat Sheet Exam 2

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Pages:
2
School:
Texas A&M University
Course:
Stat 211 - Prin Of Statistics I

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Definitions Alternative Hypothesis Ha is either 0 0 or Equations Binomial 0 Categorical variable Places a unit into one of several categories male female succeed fail republican democrat approve disapprove not sure Census A sample that attempts to include the entire population all units Complement AC all elements not in the set conditional probabilities P A B if B happens the probability that A happens P A B P A B P B H0 is n x n x p 1 p n x x 0 Observational study Measure quantities of interest for a particular group This is passive data collection in that on does not attempt to influence the group Outliers Unusually small or large values Parameter A fixed usually unknown number that describes the population percentile the value such that p of values are below it and 100 p are above it Population The entire set of units Probability a number between 0 and 1 inclusive indicating the likelihood that the event will occur p value the probability of obtaining a Z more consistent with the alternative hypothesis than z The p value quantifies the strength of evidence in favor of the alternative hypothesis The smaller the p value the stronger the evidence for the alternative hypothesis We reject the null hypothesis if and only if the p value is less than the for the test Quantitative variable Takes on numerical values for which arithmetic makes sense SAT score number of siblings cost of textbooks Random process a process whose outcome cannot be predicted with certainty random variable a function mapping each element of the sample space to the real numbers randomized subjects are randomly assigned to control or treatment group ensures that the only difference between the two groups is what they are injected with Relative frequency proportion of the data with the value e x Probability x x actual successes in region average number of successes in region Variance Mean of Distribution Expected Value Uniform 1 k Probability k number of outcomes Normal Curve PDF x 1 x n i 0 i 2 Z



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