The arithmetic mean of a set of numbers x1, x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? =. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.Ī method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variationĪ study in which a sample from a population is used to make inference to a future population. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. This generalizes to any number of independent chi-square random variables.Ī variation of the R 2 statistic that compensates for the number of parameters in a regression model. If two independent random variables X1 and X2 are distributed as chi-square with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chi-square random variable with u = + v v 1 2 degrees of freedom. Key Statistics Terms and definitions covered in this textbook Chapter Part II: Exploring Relationships Between Variables.Chapter 9: Re-expressing Data: Get It Straight!.Chapter 6: Scatterplots, Association, and Correlation.Chapter 5: The Standard Deviation as a Ruler and the Normal Model.Chapter 4: Understanding and Comparing Distributions.Chapter 3: Displaying and Summarizing Quantitative Data.
Chapter 20: More About Tests and Intervals.Chapter 2: Displaying and Describing Categorical Data.Chapter 19: Testing Hypotheses About Proportions.Chapter 18: Confidence Intervals for Proportions.Chapter 17: Sampling Distribution Models.Chapter 13: From Randomness to Probability.Chapter 12: Experiments and Observational Studies.
0 kommentar(er)
