Two Dogs
Active Member
3/29/17 build date. Leak at 2,000. Haven't been to dealer yet for repair.
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Some people claim the Raptor's oil leak problem is widespread. Lets confirm or refute this by finding out what percentage of FRF readers have been affected by this problem.
For those that had the leak, post your build date and mileage when the leak was noticed in the comments so we can see if build date or milage are a factor with this problem.
I hate to break the news to you, but you need approx. over 2000 respondents to be within +/- 3% and over 700 to be +/- 5% and over 200 to be within +/- 10%. (which +/- 10% is pretty much a meaningless survey)
This is based on approx 20,000 raptors sold. These numbers go up if they sold more.
That does not even take into account that it is more likely that owners with problems will be on this forum!!! (huge point by the way that invalidates even the numbers I posted above)
Your idea and effort are applauded, but this is a useless exercise as I doubt you reach even a 100 respondents.
So those with leaks appear to be with the oil pan gasket, as best I can tell from the thread. For those with leaks, how did you notice it? Was it significant enough that you noticed drips on the garage floor, or was it the oil plan was oily? This thread has me wondering if I need to take a closer look at my own truck.
"a little knowledge is a dangerous thing".
Sample size and confidence interval has nothing to do with population size. Thousand, million, or billion, it doesn't matter. If you look it up, you will notice population size is not a variable in the confidence interval formula. This is why pollsters can determine how millions of us will vote from a couple thousand respondents and Neilson influences billions of dollars of advertising with just a few thousand households.
This makes sense intuitively if you think about sampling M&Ms to determine the ratio of colors. Bag, bathtub, swiming pool, lake, or ocean of M&Ms, it doesn't change how many you need to count to have a good idea of the proportions. Only varience affects sample size, ie how well mixed up is the pile of M&Ms. Well mixed up, small sample size; colors all bunched together, large sample size.
Another example is your doctor only needs one blood sample because the variance in your blood is very low. The results from one blood sample will be identical to five samples or fifty samples. Lucky for you your doctor doesn't need to take 2,000 blood samples to determine your cholesterol.
Finally, this survey is conducting "explatory research" and is most definitely not a scientific or representative. But it is ignorant to discount its usefulness. This website is a hub for Raptor enthusiasts and is probably fairly representative. I have no reason to believe enthusiasts are more likely to experience a leak than a non-enthusiast. It's not as if I am sitting in the waiting room of a Ford service department asking if people are having problems with their vehicle.
For QC purposes, you want a failure rate in the small fractions of a percent. Six Sigma is something around 0.0001% failure rate. Given this exploratory survey, it is clear that Ford has a problem and the oil pan failure rate is in multiple percentage points. I'd most likely between 5 and 20%. That is a devastatingly horrible failure rate for manufacturing.
Of course the numbers will only grow because there are many who have not experienced the leak yet that will have one, or those that have a leak but haven't noticed it yet.
Be careful the next time you go spouting off about things you don't really understand.
I guess real data shows otherwise. Even though it isn't a scientific statistically relevant sample.