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that's super cool!
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Syllie 47 shared last document 2 months ago
Can someone explain the answers to these questions? Would be very much appreciated :)
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If there is a pattern in the residual plot linear regression does not fully describe the association between x and y. In this case you need a curvilinear regression or you cluster it and make two regression lines.
And for 7 its C because if it was a correlation of r=-1 all the points would lie perfectly on the 0-line :)
Does anyone understand why A is the answer for question 10? (the answer for question 9 is A)
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Here is the solution, I can confirm it is correct since I wrote it down from last year's response lecture :)
Thank you very much, makes sense now
How are you studying for the exam? Flashcards, Summaries, etc. ?!
summaries of the theoretical part + flash cards, doing all the stats task of PBL sessions and the practice exam
What is the answer to question 41? I thought that it could be useful for calculating the z-scores, but I'm not sure whether that's correct or not.
I'd actually say that you report the standard deviation rather than the variance because it has the same unit as the variable. And I don't really get why the standard deviation would be a standardised measure, it's different for every case. With the standard deviation, you still have to look at the data to see if a certain score/value is unusual. That's why you use z-scores (standard scores). At least that's the way I understood it.
You're right, I was talking about the Z-scores in the first answer. Long day... :D They are both quite abstract concepts and as you will see, in practice they also report the variance. From my experience, the power of the standard deviation comes from the use of the Z-scores. So you can see how exceptional a given score is. Even though there are quite some other interesting things you can infer from a standard deviation (or comparison of multiple standard deviations) :)
Is the M&T exam paper-based or digital?
I think it is paper-based :) (I'm not 100 % sure tho)
Thanks hun
Why is A there right answer ???
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Thank you!
Happy to help :)
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I LOVE YOU ! MY TUTORIAL LOVES YOU <3 THX
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I LOVE YOU GUYS TOO SEE YOU IN THE EXAM XOXO 😘
What are the opening hours of the FPN Library, when does it close?
Could someone explain to me what a prediction error is and what it means in the context of statistics?
What is meant by "topples"
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<3
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Just noticed my sketched lines are a bit off on page 3! They should be a bit higher :)
I love you THX SO MUCH
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Just noticed my sketched lines are a bit off on page 3! They should be a bit higher :)
Welcome to the Methods and Techniques course!! If you are looking for some additional help, check out our website: https://successformula.nl/Maastricht/ We offer different classes for the course to make sure you will pass the course successfully!!
hi guys, does someone know where i can find example exams? Cause i just find here the one that is so similar to the October one (2018/2019) . Thank you!
hey does anybody here have a really good summary of the M&T content that is important for the resit exam?
every formula and important term from Albertos lecture today
A nice summary indeed :D Here on Studydrive there is also another section for "Statisitcs for psychologists I", if you want to see more helpful things like this :)
Does anyone know how the grading system works? 9 mistakes = 6 points, and so on?
the scale was in one of the lectures
Thanks!!
Hey guys, Im a bit confused about all the different variables, Mediator vs Moderator , Confounding and so on and how they all realate to each other. ( Task 7 & last weeks lecture). Does anyone have like a big overview of all of these aspects ? Like wich variable falls under wich category ? Thanks :)
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Did I get it right, that Moderator and Mediator variables are a subgroup of Confounding variables in general? So it is like the overall term is: Extraneous Variables ---> A type of extraneous Variables are --> Confounding Variables in general and they could for example be --> Mediator and Moderator variables?
I am not sure if I would group them like this, but it is also nothing that you have to do. The more important thing is to understand the concept behind each :)
How can you assume a main effect and interaction effect if there is only Data given? And do we need to know how to calculate main & interaction effects?
Depending on the data you can assume how the graph would look like . I didnt learn how to calculate them. Im just able to recognize them when i see them in a plot
If you can see it from graphs that is already great. You could also calculate it when you have a frequency table, eg a 2x2 table Main effects=colums or rows differ on average, interaction = if you make substractions within a row the results fromt he two rows differ. 2 4 The averages of the colums are both 3 no main effect, same for the averages of each row 4 2 If you calculate 2-4= -2 that differs from the other row 4-2=2, hence there is interaction
Hey, can someone explain me where the difference between a "randomized multigroup design" and a "mixed factorial design" is? thank you
in the randomized two or multigroups design, you assign randomly but each group is just for ONE randomly selected level of your independent variable. in the mixed factorial design you use your subjects for each level of your independent variable like you do it in a within subjects design. The mixed design is explained in the m&T book on p. 327
Did I get it right, that Moderator and Mediator variables are like subgroups of Confounding variables in general? So it is like the overall term is: Extraneous Variables ---> A type of extraneous Variables are --> Confounding Variables in general and they could for example be --> Mediator and Moderator variables?