Recorded Exam Training: Quantitative Methods 2 Stats [QM2 Stats]

On this page, you can find the recording of the Exam Training for QM2 Stats [Quantitative Methods 2 Stats]. Feel free to ask questions in the comment section below, we will answer them 🙂

Recording

[s3mm type=”video” source=”cloudfront” files=”UM-SBE-QM2-ETS-1.mp4,UM-SBE-QM2-ETS-2.mp4,UM-SBE-QM2-ETS-3.mp4,UM-SBE-QM2-ETS-4.mp4,UM-SBE-QM2-ETS-5.mp4″ titles=”Part 1,Part 2,Part 3,Part 4,Part 5″ splash=”https://successformula.nl/wp-content/uploads/2020/09/RET.jpg” /]

The recording has multiple parts. Press next to see the following one.
The video links expire (please refresh the page if it does not load anymore). If you still have issues, contact us at [email protected]

Thank you for watching and we hope you liked it! Feel free to ask questions below 🙂 (We are notified if you ask a question).
We would love to hear your opinion about the Exam Practice recordings. We would love if you could fill this short survey for us.

20 thoughts on “Recorded Exam Training: Quantitative Methods 2 Stats [QM2 Stats]

    1. Hi Nathan, we apologize for the confusion! As indicated in the description above and the purchase note in your order, the recording will be released on the 21st of March (at the latest)! We apologize for any inconvenience that this may have caused and if you have any questions, please let us know!

        1. Hi Leopold,

          Yes, but the z-distribution is one sided and we are searching for an interval, which is two sided (95% and 5% if one sided and 90% and 10% if two sided).
          I hope that makes sense, otherwise let me know!

          Best
          Florian

  1. Hi for slide 16 and Question 6, I don’t think it’s B) can you please explain? I’m not good at interpreting but I think there is an issue.

    1. Hi 🙂
      So here we are looking for our coefficients of the mode. We have men (120) as our baseline so this represents our b0. Then if the female dummy is activated (female=1) then you have to add 20 (140-120). Therefore B is the correct answer.

      Hope that helps.

  2. For the 2. question, If I’m not wrong you need to use the z-table rather than the t-table which you have taken the 1.645 from, additionally in the explanation slide 2E, you have put a t-table there. Please fix me if I’m wrong.

    1. Hi, thanks for your question!

      It’s the sum of -4704 and -5593, the original coefficients for the dummies.
      Salary for grade 1 should always be the lowest, no matter what we use as a baseline. So the -10297 now reflects the difference between grade 1 and grade 3.

      Hope that helps!

      -Leonie

    1. Hi, thanks for your question!

      The P-value for this test is 0.06 (or 6%) as given in the excel output. This is very close to a p-level of 5% (see the hint in the question), therefore we choose the alpha level of 5% in the table. This is of course not perfectly accurate as we are rounding here, but it’s our best guess given the info we have.

      Hope that helps!
      -Leonie

    1. Hi Amelie,

      if you check the formula sheet, the df formula for the regression df is n-k-1, which is also how you calculate the df of the anova residual row in the regression! Let me know whether it makes sense! Best Florian

    1. Hi Lou,

      With large samples, you can also look at the t table like we do here but you could of course also look at the z table (only problem with z is that you often have to make adjustments). Hope that makes sense otherwise let me know!

Ask a Question (you can change your display name [e.g. to Anonymous] on this link)