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18 Cards in this Set
- Front
- Back
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r Correlation Coefficient
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Measure of strength and direction of the linear relationship between 2 quantitative variables
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Simple Random Sample (SRS)
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An SRS of size n is chosen by a method where every possible group of n has an equal likelyhood of being chosen.
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Experimental Design Principle
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-Control= for lurking variables, ensure that only systematic differences occur in treatments
-Random assignment= treatments are randomly assigned to experimental units -Replication= enough experimental units are used in each group so effects can be distinguished |
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Random Variable Probability Distribution
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The list of outcomes, possible values, and probabilities
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Random Variable
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Numerical result of a random phenomenon
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Sampling Distribution
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Distribution of values taken by the statistic in all possible samples of the same size from the same population
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Binomial Setting
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-Binary= possible outcome a "success" or "failure"
-Independent= results don't effect each other -Number= number of trials n is defined -Success= probability of success for each trial is the same |
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Outlier in Distribution
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An observation is an outlier if it falls more than 1.5xIQR above Q3 or below Q1
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Density Curve
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-Always above or on the x axis
-Area under curve=1 |
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Residual
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DIfference between the observed y and the predicted y (y-y-hat)
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Least Squares Regression
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LSR of y on x is the line that makes the sum of the squared residuals as small as possible
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r-squared Coefficient of Determination
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% variability y explained by a linear relationship to x
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Outlier in a Regression
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An observation that lies outside overall pattern of the other observations. Points are outliers in the y direction but not x have large residuals, others may not.
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Influential Point
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If point was removed it would change result of the calculation. Outliers in the x direction.
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Independence
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A and B are independent if knowing one occurs tells you nothing about the other
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Parameter
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Constant that describes the population
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Statistic
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Random variable that describes a sample (used to estimate parameters)
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N>10n condition
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Population (N) must be more than 10 times the sample size in order to use a binomial distribution
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