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>
Learn more about the repeated-measures ANOVA on:
brainly.com/question/15394749
S = r*θ . . . . where θ is in radians
s = (15 in)*(100°*π/180°)
s = 25π/3 in ≈ 26.18 in
Answer:
1.08%
Step-by-step explanation:
When you solve problems like these you convert the percentages into fractions and multiply them together.
18%= 18/100 reduced------> 9/50
6% = 6/100 reduced------> 3/50
3/50 * 9/50 = 108/10000 reduced -------> 54/5000 reduced---->
27/2500. The probability is 27/2500, or 1.08%
1) cos (150°)=- cos(180°-150°) = - cos(30°) and - cos30° = - √(3) / 2
sin(150°) = sin(180°-150°) =sin30. and sin30° = 1/2
Then : 5/2(cos 150° + i sin 150°) becomes : 5/2{(-√(3) /2 + I (1/2)]
OR 5/4( - √3 + i)