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:
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To calculate outliers, find Q1, Q2 (median), and Q3. That is 13 (
), 19, and 27 (
) respectively. Find the IQR (which is Q3 - Q1). It is 14. Then, do Q3 + (1.5 * IQR) to find upper fence and Q3 - (1.5 *IQR) to find lower fence. The upper is 48, lower is 6. If there are any numbers greater than the upper fence (in this case 48) or lower than the lower fence (this case 6), those are outliers. So there are no potential outliers in this data set.
False
I think that’s right because three times 5 is 15 increased by four is 19 not -8 so...
Answer:
The circumference of the circle is about <u>166.42 </u>cm.
The area of the circle is about <u>2205.07 </u>cm².
Step-by-step explanation:
Diameter = 53 cm
Radius = r = 53cm/2 = 26.5 cm
π = 3.14
Circumference = C = 2 π r
C = 2(3.14)(26.5cm) = 166.42cm
The circumference of the circle is about 166.42cm.
Area = A = π r²
A = (3.14)(26.5cm)² = 2205.07 cm²
The area of the circle is about 2205.07 cm².