Sampling methods
Experimental Design parts
Bias Detectives
Observing vs Experimenting
100

What is it called when you preform an equal chance selection,where each population member has an equal chance

Simple random sample

100

The treatments are given to two groups that can be matched up with each other in some ways

Matched Pair Design

100

This occurs when certain groups within the population are excluded or underrepresented in the sample

Under coverage Bias

100

Select a sample based on easy accessibility or convenience, and readily available participants are

Convenience Sampling

200

Sampling where the population is divided into subgroups, but each subgroup has similar characteristics to the whole sample

Cluster sample group

200

A block is a group of subjects that are similar, but the blocks differ from each other. Then randomly assign treatments to subjects

Randomized Block Design

200

When a significant portion of the sampled population either cannot be contacted or refuses to respond, it can introduce bias.

Non-Response Bias

200

This design focuses on the impact of one independent variable on a response variable, often with different levels or treatments of that single factor.

Single-Factor Experiment

300

Sample by selecting members of a population at a regular, predetermined interval, after a random starting point

Systemised random sample

300

Subjects are randomly assigned to different treatment groups.

Completely Random Design

300

This type of bias arises when individuals or groups are selected for a study in a way that systematically excludes certain characteristics or perspectives

Selection Bias

300

heavily based on cause and effect

Exipermental


400

Sampling similar subgroups and choosing all of the members in that sub group

Stratified Sampling

400

This design investigates the effects of multiple factors on a response variable by varying the levels of each factor in different combinations. 




Factorial Design

400

This happens when individuals choose to participate in a survey or study, which may lead to a sample that is not representative of the entire population.

Voluntary Response Bias

400

can never prove cause and effect relationships

Observational

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