Week 2 Flashcards
Define a population
The entire collection of events in which we are interested.
What would the population be in a study involving the reading ability of children with ADHD?
The population is all the children with ADHD.
Define a parameter
Numerical values that summarise the population data.
What are examples of a parameter in data?
The mean, standard deviation or correlation.
Are population parameters usually known?
No, they are usually unknown but can be estimated by sample statistics.
Define a sample
A set actual observations of the scores we have in hand.
Define statistics
Numerical values used to summarise the sample data. e.g mean (M), standard deviation (SD or s), correlation (r).
What is a sample mean?
A model of the population. The standard deviation provides an index of how well our model fits the data.
What is the aim of scientific research, and how can we achieve this?
To generalise beyond the specific sample. Therefore, we must carefully choose how to obtain a sample.
What is a tangible population?
Populations whose members exits at the time of sampling.
Give an example of a tangible population.
2020 UTAS students.
What is an abstract population?
Populations whose members may not exist at the time of sampling.
Give an example of an abstract population
25-35 year old males in 2020. Because males who are 35 will be excluded from this population in 2021, and males who are currently 24 will be added.
Give some examples of probability samples?
Simple random sample, stratified random sample, systematic samples and cluster samples.
What are probability samples?
If a population can be specified in advance and each member has SOME chance of being included in the sample.
What is a simple random sample?
Every member of the target population has an equal chance of being selected.
Give an example of a simple random sample
All full-time and part-time uni students at UTAS are invited to participate in the study by email, phone and social media. Random because it may not be representative o the entire population (e.g only female students participating).
What is the stratified random sample designed for?
To ensure the sample is representative.
How does a stratified random sample ensure the sample is representative?
Population is divided into subgroups. e.g, male, female 1st years, 2nd years. Final sample will include same proportions of those subgroups in the population.
What is a systematic sample?
Sampling every “n”th individual (or event). Which of the first n individuals is the starting point is determined randomly.
What is a cluster sample?
Samples taken from relevant clusters that exist in the population e.g schools, classrooms, suburbs, streets etc.
What are the steps in using cluster samples?
- determine relevant clusters
- select a pre-determined number of clusters
- collect data from every person in selected clusters
When are cluster samples useful?
When interventions cannot be practically assigned to individuals. E.g hard to teach students in a classroom using different methods