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- - **Calculating Significance actual vs expected**
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Calculating Significance actual vs expectedI 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 (o-e)||24 ||26 || ||deviation sq ||576 ||676 || ||dev sq/e ||1.523809524||5.680672269 || ||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. :) |

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