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Statistics: summaries and study assistance - Theme
Statistiek: samenvattingen en studiehulp - Thema
Statistiek: samenvattingen en studiehulp - Thema
Aantekeningen, artikelen, oefenmateriaal, samenvattingen en studiehulp voor statistiek Statistiek bij o.a bedrijfskunde, psychologie, pedagogiek en sociale wetenschappen
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What is the Lotka-Volterra model?
The Lotka-Volterra model is a mathematical tool used in ecology to describe the dynamics of two interacting populations: prey and predator. Developed by Alfred Lotka and Vito Volterra, it uses a system of differential equations to depict how these populations fluctuate over time.
What are the key features of the Lotka-Volterra model?
- Two Populations: The model focuses on the interaction between prey (X) and predator (Y).
- Birth and Death Rates: It incorporates birth and death rates for both populations, influenced by factors like predation (for prey) and food availability (for both).
- Non-linear Interactions: The interactions between prey and predator are not constant, but rather non-linear. This means the impact one population has on the other changes as their numbers grow or shrink.
- Cyclic Dynamics: The model often predicts cyclical population changes. As prey populations rise, predators have more food and their numbers increase. This, in turn, leads to a decline in prey,
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TentamenTests bij Psychometrie aan de Universiteit Leiden - Exclusive
Vragen
1. Hoe wordt betrouwbaarheid in de klassieke testtheorie gedefinieerd?
a) De variantie van de error scores gedeeld door die van de geobserveerde scores.
b) De variantie van de geobserveerde scores gedeeld door die van de ware scores.
c) De variantie van de ware scores gedeeld door die van de geobserveerde scores.
d) De variantie van de geobserveerde scores gedeeld door die van de error scores.
2. Is de onderstaande normtabel voor de ruwe testscore X (M = 80, SD = 12) correct?
| X | z | T |
| 68 | -2 | 26 |
| 74 | -1 | 38 |
| 80 | 0 | 50 |
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Studiegids met college-aantekeningen bij Kennismaking met Onderzoeksmethoden en Statistiek (KOM) aan de Universiteit Utrecht
College-aantekeningen bij Kennismaking met Onderzoeksmethoden en Statistiek aan de Universiteit Utrecht
Inhoudsopgave
- Aantekeningen Kwalitatief en Correlationeel bij KOM
- Aantekeningen Experimenteel en Integriteit bij KOM
- College-aantekeningen bij Statistiek van MST 1 - 2016/2017
- College-aantekeningen bij Methoden van MST 1 - 2016/2017
- College-aantekeningen bij Statistiek van MST 1 - 2015/2016
- College-aantekeningen bij Methoden van MST 1 - 2015/2016
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Studiegids voor samenvattingen bij Managerial Statistics van Keller
Samenvattingen en studiehulp bij Managerial Statistics van Keller
Inhoudsopgave
Nederlandstalige samenvattingen en studiehulp bij de 9e druk van het boek:
- Samenvatting bij het boek: Managerial Statistics van Keller - 9e druk
- Bijlages bij het boek: Managerial Statistics van Keller - 9e druk
Engelstalige samenvattingen en studiehulp bij het boek:
- Summary with the book: Managerial Statistics by Keller
Overige:
- Samenvattingen en studiehulp bij voorgaande drukken van het boek
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What are event based models?
Event-based models (EBMs) are a type of computer simulation that describes the dynamics of a system through discrete events. In contrast to traditional mathematical models that model continuous changes in time, EBMs focus on the moments at which significant changes in the system occur.
What are the key features of EBMs?
- Discrete events: EBMs model the dynamics of a system through discrete events, such as the birth of an individual, the interaction between two organisms, or the death of a cell.
- Stochasticity: EBMs incorporate elements of chance, which better reflects the reality of nature.
- Time delays: EBMs can account for time delays between events, which is important for modeling processes with long-term effects.
- Emergence: Complex system patterns and dynamics can emerge from the interactions of individuals and events.
What is the importance of EBMs?
EBMs offer several advantages over traditional mathematical models:
- Realistic modeling: EBMs can create realistic simulations of natural
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What are partial differential equations?
Partial differential equations (PDEs) are mathematical equations that describe relationships between functions of multiple variables and their partial derivatives. In theoretical biology, PDEs are used to model dynamic processes that occur in space and time, such as population growth, disease spread, and tissue development.
What are the key features of PDEs?
- Multiple variables: PDEs involve functions of two or more variables, such as space and time.
- Partial derivatives: PDEs contain partial derivatives of the functions, which describe the change of the function with respect to one of the variables.
- Dynamic processes: PDEs are used to model dynamic processes, such as the change of a population over time or the spread of a substance through a tissue.
What is the importance of PDEs?
PDEs are important in theoretical biology for the following reasons:
- Realistic modeling: PDEs can realistically model complex processes in nature, including the effects of spatial and temporal variation.
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What are individual based models?
Individual based models (IBMs) are a type of computer simulation that models the behavior of individuals in a population. Unlike traditional mathematical models, which view populations as homogeneous groups, IBMs take into account the unique characteristics and behavior of each individual.
What are the key features of individual based models?
- Individuals: The building blocks of IBMs are individuals with their own characteristics, such as age, sex, size, and health.
- Interactions: Individuals can interact with each other and with their environment.
- Stochasticity: IBMs incorporate elements of chance, which better reflects the reality of nature.
- Emergence: Complex population patterns and dynamics can emerge from the interactions of individuals.
What is the importance of IBMs?
IBMs offer several advantages over traditional mathematical models:
- Realism: IBMs can create more realistic simulations of natural systems by accounting for the variability between individuals.
- Flexibility: IBMs can be adapted to investigate a wide range of biological questions.
- Insight: IBMs can
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What are cellular automata?
Cellular automata are discrete dynamical systems that consist of a regular grid of cells. Each cell has a finite number of states, and the state of a cell changes over time according to a set of rules that depend on the states of the cell and its neighbors.
What are key features of cellular automata?
- Discrete dynamical systems: Cellular automata evolve over time according to a set of rules.
- Regular grid: The cells are arranged in a regular structure, such as a lattice.
- Finite states: Each cell can be in one of a finite number of states.
- Transition rules: The state of a cell changes over time according to a set of rules that depend on the states of the cell and its neighbors.
What is the importance of cellular automata?
- Powerful tool for modeling complex systems in nature, mathematics, and computer science.
- Simulate a wide range of phenomena, such as:
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TentamenTickets bij Statistiek 1A en 1B aan de Rijksuniversiteit Groningen
TentamenTickets
Een aantal tips om je tentamen te halen, zijn:
- Het is van belang dat je precies bent bij het aantekeningen maken, omdat de vragen in het tentamen vooral gaan over formules en formele begrippen.
- Maak gebruik van de online tool van het boek en oefeningen bij de hoofdstukken van het boek om jezelf te testen; statistiek is oefenen, oefenen, oefenen...
- Tijdens de colleges worden verschillende formules uitgelegd. Zorg dat je deze formules goed kunt toepassen, zodat je deze op het tentamen kan gebruiken.
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Example exam with Introduction to Methodology and Statistics at the Leiden University - Exclusive
Multiple choice questions
Question 1
A study looks at the relationship between gender, age and social resilience. Which of these variable(s) can only play a role in psychological research as an independent variable?
- Sex.
- Age.
- Sex and age.
- All three variables can act as both dependent and independent variables.
Question 2
Given are the 110-meter times of a sprinter from the last four races: 10.9, 11.2, 11.0 and 11.3. What is the standard deviation of these results?
- 0.10.
- 0.158.
- 0.183.
- 0.316.
Question 3
A business psychologist has checked for 200 managers what their blood pressure (X) is and how much
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Samenvattingen per hoofdstuk bij Introduction to the Practice of Statistics Samenvattingen per hoofdstuk bij Introduction to the Practice of Statistics
- Voor samenvattingen bij alle hoofdstukken van de 10e druk van Introduction to the Practice of Statistics van Moore, McCabe & Craig, zie...
While the specific steps might differ slightly depending on the research methodology and field, generally, the seven steps of the research process are: 1. Identify and Develop Your Topic:
- Start with a broad area of interest and refine it into a specific research question.
- Consider ...
Betekenis, toepassing en oefenvragen bij de belangrijkste begrippen van KOM en TOE: Correlationeel
- PAC
- Causaliteit
- Covariance
- Temporal precedence
- Internal validity
- Likert schaal
- Conceptuele definitie
- Operationele definitie ...
Betekenis, toepassing en oefenvragen bij de belangrijkste begrippen van KOM en TOE: Experimenteel
- PICO
- Inferentiële statistiek
- Nulhypothese
- Type I fout
- Type II fout
- Power
- Cohen’s d
- Betrouwbaarheidsinterval
- St...
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Samengestelde samenvatting, gebaseerd op de SPSS Survival Manual van Pallant, 6e druk uit 2016. Deze samenvatting is zowel te gebruiken bij versie 24 van IBM SPSS als bij andere versies. Bij gebruik van andere versies kan het voorkomen dat de opties een soortgelijke naam hebben gekregen of een ...
Introduction to Statistics: in short
- Statistics comprises the arithmetic procedures to organize, sum up and interpret information. By means of statistics you can note information in a compact manner.
- The aim of statistics is twofold: 1) organizing and summing up of information, in ...
Definitions and explanations of the most important terms generally associated with Introduction to Statistics
Recognizing commonly used statistical symbols
- Recognizing commonly used statistical symbols
- Commonly used greek symbols
- Commonly used latin symbols
- Commonly used mathematical symbols
- More knowledge and assistance for recognizing statistical symbols ...
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Samenvattingen en studiehulp voor Introduction to the Practice of Statistics van Moore & McCabe
Definitions and explanations of the most important terms generally associated with Introduction to Statistics
Bevat aantekeningen, begrippenlijsten en oefenvragen voor het vak Kennismaking met Onderzoeksmethoden en Statistiek aan de Universiteit Utrecht (2022/2023)
In deze bundel vind je de aantekeningen en begrippenlijsten van alle werkgroepen en hoorcolleges van het vak Toepassing en Onderzoeksmethoden en Statistiek, Psychologie, Universiteit Utrecht.
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Deze bundel bevat een samenvatting van SPSS en is gebaseerd op de 24e versie. De volgende delen zijn beschikbaar: Wat is SPSS: een introductie (1) Definities en begrippen in SPSS (2) Afhankelijke en onafhankelijke variabelen (3) Meetschalen van variabelen (4) Gemiddelden berekenen (5) Variantie bere...
- Hoofdstuk 1 Data
- Hoofdstuk 2 Het onderzoeken van datagegevens
- Hoofdstuk 3 Associaties tussen twee variabelen
- Hoofdstuk 4 Data verzamelen
- Hoofdstuk 5 Kansen
- Hoofdstuk 6 Opsomming van kansen
- Hoofdstuk 7 Betrouwbaarheidsinterval
- H...
- Hoofdstuk 1 Introductie: wetenschap als communicatieproces
- Hoofdstuk 2 Het onderzoeksplan
- Hoofdstuk 3 Benaderingen van onderzoek
- Hoofdstuk 4 Theorieën en hypothesen
- Hoofdstuk 5 Definiëren en operationaliseren
- Hoofdstuk 6 Het experiment...
Studiegids met samenvattingen en studiehulp voor:
- Boektitel: Discovering statistics using IBM SPSS Statistics
- Auteur: Field
- Druk: 5e druk en 4e druk
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