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).
The experimental probability would be 33 out of 60 or 55%
Answer:
15
Step-by-step explanation:
pretty sure dont get mad if i am wrong tho
sorry if i did make u get it wrong
5x + y - 2 + 3 - 1. Lmk if this helps otherwise I will go further into it.
