The cast of Gli onori della guerra - 1917 includes: Hesperia Ida Carloni Talli Alfonso Cassini Alberto Collo Emma Farnesi
Actors Entertainment - 2009 ActorsE Chat with Brett Walkow Richie Onori Joe Retta and Phil Woodward 4-30 was released on: USA: 9 February 2012
The cast of Io e te - 2012 includes: Rodolfo Corsato Pippo Delbono as Pychologist Tea Falco as Olivia Jacopo Olmo Antinori as Lorenzo Christina Onori as Lady with dogs John Paul Rossi as The Pusher Tommaso Ragno as Ferdinando
The cast of Il nuovo accade - 2011 includes: Jovanotti as himself Saturnino Celani as himself Leo Di Angilla as Himself (percussionist) Riccardo Onori as Himself (guitarist) Christian Rigano as Himself (synthesizer player) Franco Santarnecchi as Himself (pianist)
Emma Farnesi has: Performed in "Morire per vivere" in 1914. Performed in "Gli onori della guerra" in 1917. Performed in "La contessa Sara" in 1919. Performed in "Martino il trovatello" in 1919. Performed in "La serpe" in 1920. Performed in "La complice muta" in 1920. Performed in "Cenerentola" in 1920. Performed in "Giulia, figlia di Claudio" in 1920. Performed in "Naufraghi" in 1921.
The cast of Honor in the Valley of Tears - 2010 includes: Landis Bargatze as himself Peter DeRita as himself Ralph Ely as himself Steve Erlenheim as himself Joby Jay McAulay as himself Ken Mayberry as himself Leonard McElroy as himself David McNerney as himself Paul Onori as himself Roy Pacheco as himself Jim Peirce as himself Michael Pemberton as Narrator Sam Ponsoll as himself Don Rawlinson as himself Ross Rembert as himself Victor Renza as himself Garrett Romero Thomas as himself Ted Schulz as himself Robert Sholly as himself Dave Vigliotti as himself
he was a mean person who lived with mean people in a mean castle on a mean hill in a mean country in a mean continent in a mean world in a mean solar system in a mean galaxy in a mean universe in a mean dimension
you mean what you mean
Mean is the average.
Mean
It mean what you don't what does it mean.
The arithmetic mean is a weighted mean where each observation is given the same weight.