Unit 3 Vocab STATS
🇬🇧
In English
In English
Practice Known Questions
Stay up to date with your due questions
Complete 5 questions to enable practice
Exams
Exam: Test your skills
Test your skills in exam mode
Learn New Questions
Manual Mode [BETA]
Select your own question and answer types
Specific modes
Learn with flashcards
Complete the sentence
Listening & SpellingSpelling: Type what you hear
multiple choiceMultiple choice mode
SpeakingAnswer with voice
Speaking & ListeningPractice pronunciation
TypingTyping only mode
Unit 3 Vocab STATS - Leaderboard
Unit 3 Vocab STATS - Details
Levels:
Questions:
23 questions
| 🇬🇧 | 🇬🇧 |
| Population (population of intrest) | An entire group of individuals that you're interested in learning about |
| Sample | A smaller group of specific individuals selected from the population to study |
| Population of parameter of interest | A characteristic or measurement of the populations that you're interested in learning about |
| Sampling frame | A group of possible individuals you're creating a sample from |
| Census | When you survey the entire population instead of just a sample |
| Observation study | A study based on data in which no treatments are assigned |
| Experiment | Similar to observational study, but treatments are randomly assigned. Causation can be determined from experiments. |
| Convenience sample | A non-random sampling method that can only include individuals who are convenient/easy to sample, such as friends or the first person we see. Biased and not representative of the entire population. |
| Voluntary response sample | A non- random sampling method that only includes individual who choose to call-in, participate, etc. Biased and not representative of the entire population. |
| Random sample | A sampling method that use random chance to select individuals for a sample, which has no bias |
| Simple random sample | Using a random process to choose a group from the population so that every individual and every group of individuals is equally likely to be chosen |
| Sampling variability | The concept that the results from different samples won't be the exact same due to the random processes. |
| Margin of error | How far off our estimated value from a sample might be compared to the true value for a population |
| Bias | If a sampling method is biased, then something is wrong with how we collect data. This creates baddata that is not representative of the population. |
| Undercoverage bias | When the data collection process is set up in a way such that some members of a population cannot or are less likely to be included in a sample |
| Nonresponse bias | When an individual is part of a survey/ sample but does not respond or chooses not responds. |
| Response bias | Factors that influences individuals to provide false or inaccurate responses. Examples: wording of a question, who is asking the questions, lying, etc |
| Placebo effect | When someone receives a "fake" treatment and it actually helps them even through its not supposed to |
| Control group | A group that receives a placebo or no treatment, used as a baseline for comparison |
| Single blind | When the subjects/experimental units do not want the treamnets they are receiving |
| Confounding variables | A variable that influences both the explanatory and response variables, which may affect proving causation |
| Purpose of random assignment | To show causation from an experiment |
| Purpose of random sample | To generalize the results |