The statement that describes the second stage of the repeated-measures ANOVA is: <em>it removes individual differences from the denominator.</em>
The repeated-measures ANOVA is a two stage process that is described as analysis of dependencies. This test is used to prove an assumed cause-effect relationship between varaibles (dependent and independent).
The means across one or more variables which have repeated observations are compared using the repeated-measures ANOVA.
- Total variability is divided into variability between and within treatments in the first stage of the repeated-measures ANOVA, while <em>the second stage removes individual differences from the denominator.</em>
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Here is what I got
I have to write 20 words so here they are
The ratio of life expectancy to gestation period is greatest at point (A) A.
<h3>
What is life expectancy?</h3>
- Life expectancy is a statistical measure of how long an organism is expected to live based on its birth year, current age, and other demographic factors such as gender.
- The most commonly used metric is life expectancy at birth (LEB), which has two definitions.
To find the labeled points, which represent the animal for which the ratio of life expectancy to gestation period is greatest:
- The graph below shows life expectancy on the y-axis and gestation period on the x-axis.
- The life expectancy to gestation period ratio for point A is 7/22.5 = 14/45.
- For point B, the ratio is 8/45.
- Because the y coordinate is greater at Y than at X, which has the same x coordinate, we only consider the ratio at D, which is 10/51.
- Since 14/45 > 8/45, we only have to compare 14/45 and 10/51.
- So, 14 × 51 = 714 and 45 × 10 = 450.
- Then, 14/45 > 10/51.
Therefore, the ratio of life expectancy to gestation period is greatest at point (A) A.
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The correct question is given below:
Of the labeled points, which represent the animal for which the ratio of life expectancy to gestation period is greatest?
A) A
B) B
C) C
D) D