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 🙂
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Hi! For the second exercice, from where did you get “z”?
Hi Clara,
you have to check the z-table for a 90% confidence interval to get the critical value.
Hope that helped 🙂
But 1.645 corresponds to a 95% confidence interval in the z-table?
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
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.
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.
Hi,
for question 17, how do you know whether it’s a time series or cross-sectional data?
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.
on question 13.E, how do we know that Bi is =0 ? And which df do we use in the t-table to find the t-statistic?
Nevermind, I got it
Hi, can u please explain where does the number -10,293 come from (question 24)?
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
For question 13 how do you know which alpha-level to choose?
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
Hi, for question 13 could you please explain why we use the residual df instead of doing n-1 as df?
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
Im sorry but i cant find the 1.645 in the z-table
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!