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STAT CRSUH AP EXAM
| Question | Answer |
|---|---|
| Quantitative Data explanations | SOCCS ( shape, outlier, context, centers, spread) |
| IQR | Q3-Q1 |
| Outliers for IQR | < Q1 - 1.5(IQR) > Q3 + 1.5(IQR) |
| z score | (value - mean)/ sd |
| stat chart numbers | 68, 95, 99 |
| Correlation Explanations | CDOFS ( context, direction, outliers, form, strength) |
| What is your correlation coefficient | R (-1, 1) |
| Residual | degree error of regression y - y(prediction) = residual * CLEAR plots are not good |
| positive residual | underestimate |
| negative residual | overestimate |
| Stratified Random Sample | splits population into groups on shared traits |
| Cluster Sample | randomly selects cluster from population |
| Matched Pairs Sample | Based on specific characteristics, ex. male +women |
| Bad Sampling | Convenience, Voluntary Response, Under coverage, Nonresponse, Response Bias |
| Observational Study | observe without influencing subjects |
| Experiment | manipulating variables applying treatments. 1 ) Comparison 2) Random Assignment 3) Control 4) Replication |
| Levels | Specific values |
| Confounding | when multiple values could effect the result |
| Placebo | fake treatment |
| Single Blind | Subjects dont know what treatment they are in in |
| Double Blind | Subjects / Researchers dont know who is getting which treatment |
| Multally Exclusive | two events have no overlap. Finding either probability just add |
| NonMutally Exclusive | overlap. Finding either propability just add/ subtract overlap |
| Finding Both Probabilities | NonIndependent: Multiple prob A with the Prob of B given A Independant: Multiply |
| Discrete Random sample | a random variable that takes in specific, countable values exp. 91,2,3) |
| Continous Random Sample | random sample based on variables |
| Adding / Subtracting Mean | ux + uy / ux- uy |
| Adding/ Subtracting Standard Dev | sqrroot qx^2 + oy^2 |
| Binomial Random Variables | several independent trial, recording specific outcomes. BINS. Binary (sucsess/ failure), Independent, Number (n), Sucsess ( p being the same) |
| Difference between Binary and Geometric | Binary has fixed number of trials / Geometric has no fixed number of trials |
| Geomertic Random Variables | trials required to find first sucess 1) Independent 2) denote by p 3) count # of trials |
| Statistic | is a number that describes some characteristic of sample |
| parameter | is a number that describes some characteristic of a population |
| Variability | how scattered they are ( Precise is low variability) |
| Bias | being completely off from target ( Accuracy is unbiased) |
| What happens when you multiply sample size by 4 | sd is cut in 1/2 |
| What cannot be determined when combing samples | medians |
| blocking | separating based on subjects being different |
| critical value | value that gives are for p=.o5 |
| t distribution | population *x-u/s/ srq n |
| z distribution | sample * infvnorm *x-u/ox |
| MOE | zsqrroot p(1-p)/n |
| P( a or b) | Pa + Pb - P ( a and b) |
| P( a given b) | P ( A and B)/ P(B) |
| confidence levels to z score | 90% - 1.645 95% - 1.96 99% - 2.574 |
| point estimate | midpoint of confidence interval |
| 10% condition | np >10 n(p-1)>10 |
| confidence intervals without calc | x + tsqroot P(p-1)/n |
| one tailed tests | will have to options |
| paired test | dependent |
Created by:
crushsat