Quiz
Lesson 1
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Questions in this quiz (14)
1Informally - statistical inference involves [blank_start]generalising[blank_end] results of a statistical analysis of a [blank_start]sample[blank_end] to the [blank_start]general[blank_end] population. Formally - statistical analysis is about making [blank_start]probabilistic[blank_end] statements about [blank_start]populations[blank_end] [blank_start]parameters[blank_end] based on [blank_start]sample[blank_end] [blank_start]statistics[blank_end].
- Ageneralising
- Bsample
- Cprobabilistic
- Dparameters
- Epopulation
- Fsample
- Gstatistics
- Hgeneral
2Which of the following are key properties of a quality inference
- AProperties of the estimator
- BSample size
- CSampling scheme
- DSample size greater than 30
- ESample scheme that measures a very specific population
- FBiased estimators
3Which of the following apply to stratified random sampling
- AIt is a good way to find a representative sample of the population
- BIt gives a good picture of general trends
- CIt is expensive and requires planning and resources
- DIt only works when there are specific sub-groups to sample across
- EIt is cost effective
- FIt would work well when you have a homogenous population such as a brand of lightbulbs
- GIt only works if there are no patterns in the population
4Select the correct definition for Stratified Random Sampling
- ASamples are selected using a pre-decided ordered scheme eg. every 10th person in the phone book
- BA population is split into different key subgroups and a random sample is taken from each strata
- CThe population comes in different clusters and a sample of these clusters are used to collect information from each cluster
- DSampling is based on convenience
5Select the correct definition for Systematic Sampling
- Asamples are chosen using a pre-decided ordered scheme (eg. every 10th person in the phone book)
- Bdivide the population into strata and then randomly sample from each strata
- Cpopulation comes in different clusters, a sample of these clusters are used to collect information from each cluster.
- Dsubject selection is based on convenience
6Select the correct options for systematic sampling
- AIt's an easier form of random sampling
- BMore cost effective than stratified random sampling
- COnly works if there are no patterns in the population
- DOnly works if the population is homogenous
- EWorks best when there are patterns in the population
- FWorks best when there is a lot of variation in the population
- GMore expensive than stratified random sampling
7Select the best definition for clustered sampling
- APopulations come in different clusters and a sample is taken from each
- Bsamples are chosen using a pre-decided ordered scheme
- Cdivide the population into strata and then randomly sample from each strata
- DParticipants volunteer to take part
8Which of the following apply for clustered sampling
- AIt is a cost effective version of stratified sampling
- BIt is often used in market research surveys
- CIt works well if there are no systematic differences between clusters
- DCan be less accurate as the sampling units are groups rather than individuals
- EIt requires planning
- FIt can only be unbiased if there are no patterns in the population
- GIt is more expensive and requires planning to define sub-populations
- HIt ensures the data is well represented and reduces error
9Select the best definition for haphazard sampling
- ASubject selection is based on convenience/accessibility
- BThe population is divided into strata which are then sampled
- Csamples are chosen using a pre-decided ordered scheme
- Dparticipants volunteer to take part
10Check those which apply to haphazard sampling
- AIt is convenient
- BIt can be useful for exploratory/pilot studies
- CBias can be introduced due to a lack of a sampling plan
- DLess representative of the general population
- ELacks objectivity
- FRepresentative of the general population
- GRequires a lot of pre-planning
- HLacks subjectivity
11Which of the following applies to self-selected sampling
- AIt requires a lot of resources and pre-planning
- BOnly sufficiently motivated individuals tend to take part therefore you can get values biased towards extremes
- CMost people tend to be motivated to take part therefore it is a representative way to sample
- DIt has a random sampling plan to reduce bias
12Which of the following apply to simple random sampling
- AIt is subjective and difficult to implement
- BIt is difficult logistically in large populations
- CIt is less efficient than stratified random sampling as it invites more error
- DIt produces unbiased estimates
- EIt produces biased estimates
- FIt is objective and simple to implement
- GIt is suitable when not much information is known about the population
13Select the best definition for observational sampling
- AWhen you observe a sample in real life conditions if random sampling is not practical or ethical
- BWhen you observe a sample in real life conditions in combination with random sampling
- Csubject selection is based on convenience
- Dparticipants volunteer to take part
14Select those which apply to observational sampling
- AUsed for when you can’t ethically assign test groups to people and therefore can provide important insights for these groups
- BYou would use this sampling type if you were testing the effects of cannabis or insulin
- CYou would use this sampling type if you were testing the benefits of learning a second language
- DNeed to make sure comparison groups are as similar as possible in terms of demographics to reduce bias
- EComparison groups need to be as different as possible in order to be representative of demographics
- FDifficult to prove statistical significance due to it being difficult to completely eliminate bias.
- GTend to have high statistical significance due to bias being fully eliminated
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- Learning Technology Specialist Honours Psychology (MATHS581) Quiz on Lesson 1 , created by Eva Bonning on 07/04/2021.
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- Eva Bonning
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- English
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