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Research Methods: verschil tussen versies

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''Weltje is the most weird man ever. Everything he does seems made up at the moment he tells it. This is a new course (2023). Feel free to add your exam questions :))''
''Weltje is the most weird man ever. Everything he does seems made up at the moment he tells it. This is a new course (2023). Feel free to add your exam questions :))''
=== January 2025 (Reeks 1) ===
# Part 1: basic knowledge (60pts)
## Q1: Explain the different scales of measurements and their properties, tractable basic operations, and an example. (10)
## Q2: What are the requirements for a empirical model to be valid? (5)
## Q3: What is metadata? What types are there? Give examples. (5)
## Q4: Explain the 3 common dimensional errors. (10)
## Q5: Explain 3 methods for multivariate statistics. (10)
## Q6: How do the properties of compositional data change when going compositions -> ratios -> logratios? (10)
## Q7: Which 2 classes of models can be used to describe and explain the patterns in compositional data. What do they each try to accomplish? (10)
# Part 2: application of the material (40 pts)
## Q8: T(°C) =T(K) - 273,15. Evaluate this formula. (15)
## Q9(25): uniaxial compressional strength is often related to pwave velocity. Like this:
UCS = a(Vp)^b and UCS = C*Vp + d
UCS[Mpa= kg/(m.s^2)], Vp[m/s], a b c and d are model coefficients w no dimension specified.
Discuss both of these equations separately. What are the design flaws.
Can these flaws be corrected so that a b c and d can still be used.

Versie van 6 jan 2026 17:08

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Weltje is the most weird man ever. Everything he does seems made up at the moment he tells it. This is a new course (2023). Feel free to add your exam questions :))

January 2025 (Reeks 1)

  1. Part 1: basic knowledge (60pts)
    1. Q1: Explain the different scales of measurements and their properties, tractable basic operations, and an example. (10)
    2. Q2: What are the requirements for a empirical model to be valid? (5)
    3. Q3: What is metadata? What types are there? Give examples. (5)
    4. Q4: Explain the 3 common dimensional errors. (10)
    5. Q5: Explain 3 methods for multivariate statistics. (10)
    6. Q6: How do the properties of compositional data change when going compositions -> ratios -> logratios? (10)
    7. Q7: Which 2 classes of models can be used to describe and explain the patterns in compositional data. What do they each try to accomplish? (10)
  2. Part 2: application of the material (40 pts)
    1. Q8: T(°C) =T(K) - 273,15. Evaluate this formula. (15)
    2. Q9(25): uniaxial compressional strength is often related to pwave velocity. Like this:

UCS = a(Vp)^b and UCS = C*Vp + d UCS[Mpa= kg/(m.s^2)], Vp[m/s], a b c and d are model coefficients w no dimension specified. Discuss both of these equations separately. What are the design flaws. Can these flaws be corrected so that a b c and d can still be used.