Terms
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| show | 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
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| show | Samples in which each data value of one sample is matched with a corresponding data value of the other sample.
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| Pooled Estimator of P | show 🗑
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| Goodness of Fit Test | show 🗑
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| show | 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.
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| show | 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
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| show | 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
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| show | 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)
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| show | 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
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| show | Another word for the dependent variable of interest
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| Single-Factor Experiment | show 🗑
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| Treatments | show 🗑
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| Comparisonwise Type I Error Rate | show 🗑
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| show | An experimental design in which the treatments are randomly assigned to the experimental units
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| Experimental Units | show 🗑
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| show | The probability of making a Type I error on at least one of several pairwise comparisons
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| Factor | show 🗑
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| show | An experimental design that allows simultaneous conclusions about two or more factors
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| Interaction | show 🗑
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| Multiple Comparison Procedure | show 🗑
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| show | The process of allocating the total sum of squares and degrees of freedom to the various components
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| show | An experimental design employing blocking
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| show | The number of times each experimental condition is repeated in an experiment
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Review the information in the table. When you are ready to quiz yourself you can hide individual columns or the entire table. Then you can click on the empty cells to reveal the answer. Try to recall what will be displayed before clicking the empty cell.
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To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
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