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Damm [24]
3 years ago
15

For ANOVA, the test statistic is called an ____ test statistic (also called a ____-ratio), which is the variance (2) samples (a.

k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance).
Mathematics
1 answer:
Eduardwww [97]3 years ago
4 0

Answer:

<h3>For ANOVA, the test statistic is called an <u>F-statistic</u> test statistic (also called a <u>F-statistic </u>-ratio), which is the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance).</h3>

Step-by-step explanation:

  • For Analysis of Variance the F-statistic is the Variation between Means of Sample or Variation within the Samples
  • For F-tests the F-statistic is the test statistic .
  • Generally, an F-statistic is also called as a ratio of two quantities between (here the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance)). which results an F-statistic of approx 1.

For ANOVA, the test statistic is called an <u>F-statistic</u> test statistic (also called a <u>F-statistic </u>-ratio), which is the variance (2) samples (a.k.a., variation due to treatment) divided by the variance (3) samples (a.k.a., variation due to error or chance).

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Step-by-step explanation:

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if an area can be washed at a rate of 4,900 cm2/ minute, how many square inches can be washed per hour?
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Answer : 4.5 × 10⁴ square inches can be washed per hour.

Step-by-step explanation :

As we are given that an area can be washed at a rate of 4,900 cm²/min. Now we have to determine the square inches can be washed per hour.

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Answer:

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Step-by-step explanation:

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y=a+bx

Here,

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\begin{aligned}        a &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} =             \frac{ 6857 \cdot 55 - 15 \cdot 17558}{ 6 \cdot 55 - 15^2} \approx 1083.476 \\ \\b &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2}        = \frac{ 6 \cdot 17558 - 15 \cdot 6857 }{ 6 \cdot 55 - \left( 15 \right)^2} \approx 23.743\end{aligned}

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