
Advanced Statistics Advanced Probability and Statistics Math Forum 
 LinkBack  Thread Tools  Display Modes 
March 3rd, 2019, 12:59 AM  #1 
Newbie Joined: Mar 2019 From: united kingdom Posts: 1 Thanks: 0  Calculating Significance actual vs expected
I have the following data from a horse racing database. A trainer has had 6154 runners in his over all sample. In a certain race type he has had the following... runners = 419 observed winners = 145 expected winners = 119 I was wondering what is the best calculation to test for significance with this data. Is this information enough to test using Chi Square as a measure?, all the examples I have seen seem to need at least 2 different groups to compare (in my example perhaps 2 different race types for this trainer) I have computed data with 2 different race types and have the following...  races A Races B  observed (o) 402 145  expected(e) 378 119  deviation (oe)24 26  deviation sq 576 676  dev sq/e 1.5238095245.680672269  chi sq 7.204481793  I am very rusty with statistics and quite annoyed with how much I have forgotten.Would be very grateful for any help with this query. Thanks In Advance. 

Tags 
actual, calculating, expected, significance 
Thread Tools  
Display Modes  

Similar Threads  
Thread  Thread Starter  Forum  Replies  Last Post 
Calculating expected time  calypso  Probability and Statistics  3  April 24th, 2017 10:28 AM 
Effective and actual angular diameter of the Sun  omoplata  Algebra  2  March 7th, 2012 02:15 PM 
Calculating the expected value  mathbeauty  Algebra  0  August 10th, 2010 01:10 PM 