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TOPIC: Prepcast PMP exam feedback

Prepcast PMP exam feedback 4 years 7 months ago #20638

  • Chinh Tran
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I am wondering why the exam feedback statistics by PMP Prepcast don't seem to make sense with the last two groups. According to the feedback, only 67% of the PMP aspirants, who scored 90-100% correct on the simulator, passed the first PMP exam, while 92% of the PMP aspirants, who scored only 80-90% correct on the simulator, passed the first PMP exam. It seems to me the statistics are contradicting, or is it because the samples were too small that caused the statistics skewed? (See the attached file)
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Last edit: by Chinh Tran.

Prepcast PMP exam feedback 4 years 7 months ago #20639

  • Cornelius Fichtner
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Chinh,

I was wondering the same thing when I first saw this a while back and did some digging. Here is the explanation:

First of all, there are only a VERY small number of students who actually score 90% or above. This is because you have to have 90% of questions right in your FIRST attempt across ALL the questions you answer. That's hard. And second, out of that small number, an even small number actually reports back using the anonymous survey.

And so, the % you are seeing in the 90%-100% row is the feedback received from only 6 people: 4 passed in their first attempt, 1 passed in their second attempt, and 1 failed their first attempt, but then didn't go for a second attempt.

So overall, my recommendation is to ignore that particular row, because the number of students who fall into this category and then report back is so small that it's statistically not really that meaningful.
Until Next Time,
Cornelius Fichtner, PMP, CSM
President, OSP International LLC
The following user(s) said Thank You: Chinh Tran

Prepcast PMP exam feedback 4 years 7 months ago #20643

  • Chinh Tran
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Thank you Cornelius. It makes sense now. I had the impression that the sample sizes were quite large as it seemed to me that Prepcast had many students. It would be helpful if the statistics also show the sample sizes. If the sample sizes are too small, the results could be inaccurate or not reliable, and this also applies to other categories as well. Thank you again.
Last edit: by Chinh Tran.
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