Home » Certification Exams Questions » The equation for analysis of variance may be expressed as follows:

OPTIONS

  • The total standard deviation is equal to the sum of the standard deviation for the treatment effect plus the standard deviation of the random error.
  • Sum of Square of Errors between the mean and individual values
  • The total sum of squares of deviations from the grand mean is equal to the sum of squares of deviations among treatment means and the grand mean plus the sum of squares of deviation within treatments.
  • Average variation of data from mean

ANSWER

The total sum of squares of deviations from the grand mean is equal to the sum of squares of deviations among treatment means and the grand mean plus the sum of squares of deviation within treatments.

EXPLANATION

The equation is Total SS = SST + SSE Total SS = total sum of squares SST = sum of squares among treatments SSE = sum of squares within treatments (error) Answer C correctly captures this.

Leave a Reply

Your email address will not be published. Required fields are marked *

*
*

Latest

You need someone on your team who will work across value streams and programs to help provide the strategic technical direction that can optimize portfolio outcomes. What portfolio-level must you fill?
Who is responsible for managing the Portfolio Kanban?
What portfolio-level role takes responsibility for coordinating portfolio Epics through the Portfolio Kanban system?
Which role accepts Capabilities as complete?
Who is responsible for the Solution Backlog?
Exit mobile version