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Bus Stats II Exam 2
Terms
Term | Definition |
---|---|
Independent Simple Random Samples | Samples selected from two populations in such a way that the elements making up one sample are chosen independently of the elements making up the other sample |
Matched Samples | Samples in which each data value of one sample is matched with a corresponding data value of the other sample. |
Pooled Estimator of P | An estimator of a population proportion obtained by computing a weighted average of the point estimators obtained from two independent samples |
Goodness of Fit Test | chi-square test used to test that a population probability distribution has a specific historical or theoretical probability distribution. This test was demonstrated for both a multinomial probability distribution and a normal probability distribution. |
Marascuilo Procedure | multiple comparison procedure used to test for a significant difference between pairs of pop proportions. Can be helpful in identifying differences between pairs of pop proportions when the hypothesis of equal population proportions has been rejected. |
Multinomial Probability Distribution | a probability distribution where each outcome be- longs to one of three or more categories. The multinomial probability distribution extends the binomial probability from two to three or more outcomes per trial |
Test of Independence | a chi-square test that can be used to test for the independence between two categorical variables. if the hypothesis of independence is rejected, it can be concluded that the categorical variables are associated or dependent |
ANOVA Table | A table used to summarize the analysis of variance computations and results. It contains columns showing the source of variation, the sum of squares, the degrees of freedom, the mean square, and the F value(s) |
Blocking | The process of using the same or similar experimental units for all treatments. The purpose of blocking is to remove a source of variation from the error term and hence provide a more powerful test for a difference in population or treatment means |
Response Variable | Another word for the dependent variable of interest |
Single-Factor Experiment | An experiment involving only one factor with k populations or treatments |
Treatments | Different levels of a factor |
Comparisonwise Type I Error Rate | The probability of a Type I error associated with a single pairwise comparison |
Completely Randomized Design | An experimental design in which the treatments are randomly assigned to the experimental units |
Experimental Units | The objects of interest in the experiment |
Experimentwise Type I Error Rate | The probability of making a Type I error on at least one of several pairwise comparisons |
Factor | Another word for the independent variable of interest |
Factorial Experiment | An experimental design that allows simultaneous conclusions about two or more factors |
Interaction | The effect produced when the levels of one factor interact with the levels of another factor in influencing the response variable |
Multiple Comparison Procedure | Statistical procedures that can be used to conduct statistical comparisons between pairs of population means |
Partitioning | The process of allocating the total sum of squares and degrees of freedom to the various components |
Randomized Block Design | An experimental design employing blocking |
Replications | The number of times each experimental condition is repeated in an experiment |