andreacmt
Industrial
- Jul 1, 2013
- 1
Here is the problem:
A company owns hundreds of cars. These cars have different failures during their useful life. One of the repairs performed on these cars is the replacement of injectors and/or sleeves. The main reasons for failure are 1) Broken Sleeves, 2) Combustion Leakage or 3) Broken Injectors. These failures can occur for many different reasons and it is very difficult to predict. However, the company states that whenever one of these failures is about to occur, the Fuel Economy goes down. Data has been gathered concerning fuel economy and failures on different cars. Data for fuel economy was gathered every month during a year. So, for example for one car we have the fuel economy during one year Jan-Dec and this car presented two failures of this kind during the year.
At first sight, fuel economy does not seem to be related to the injectors/sleeves failures but which statistical tools could I use to verify this hypothesis??? I am not sure if I was clear enough. Please help!
A company owns hundreds of cars. These cars have different failures during their useful life. One of the repairs performed on these cars is the replacement of injectors and/or sleeves. The main reasons for failure are 1) Broken Sleeves, 2) Combustion Leakage or 3) Broken Injectors. These failures can occur for many different reasons and it is very difficult to predict. However, the company states that whenever one of these failures is about to occur, the Fuel Economy goes down. Data has been gathered concerning fuel economy and failures on different cars. Data for fuel economy was gathered every month during a year. So, for example for one car we have the fuel economy during one year Jan-Dec and this car presented two failures of this kind during the year.
At first sight, fuel economy does not seem to be related to the injectors/sleeves failures but which statistical tools could I use to verify this hypothesis??? I am not sure if I was clear enough. Please help!