Biology Forums - Study Force

Generally speaking, if two quantitative variables are unrelated, the covariance will be a positive or negative number close to zero.
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Q. 2

Each F-distribution is identified by two numbers of degrees of freedom, one for each of the two samples involved.
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Q. 3

The standard deviation is a measure of the linear relationship between two quantitative variables.
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Q. 4

Inferences about the ratio of variances for two normally distributed populations use the F-distribution.
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Q. 5

A perfect straight line sloping downward would produce a covariance value of 1.
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Q. 6

The critical F-value for samples of size 8 and 10 with 5 of the area in the right-hand tail is determined by the value F(8, 10, 0.05).
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Q. 7

A perfect straight line sloping upward would produce a covariance value of +1.
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Q. 8

Inferences about the ratio of two variances require that the samples are randomly selected from F-distributed populations, and that the two samples are selected in an independent manner.
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I know this sounds cliche, but I was thinking the same thing for each of these. Thanks for confirming :)

I'm sure ;) Thanks for your honesty