Stats Ch 4 Sampling and Experiment Design

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Mathematics
•
11th - 12th Grade
•
Hard
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1.
FLASHCARD QUESTION
Front
What is Stratified Sampling?
Back
Stratified sampling is a method of sampling that involves dividing a population into subgroups (strata) and then taking a random sample from each stratum. This ensures that each subgroup is represented in the sample.
2.
FLASHCARD QUESTION
Front
Why is using the first 5 people who walk in the door not a good representative sample?
Back
This method is not a good representative sample because it may introduce bias, as the first 5 people may not reflect the diversity of the entire population.
3.
FLASHCARD QUESTION
Front
What is Simple Random Sampling?
Back
Simple random sampling is a sampling method where every individual in the population has an equal chance of being selected. This can be achieved by methods such as drawing names from a hat.
4.
FLASHCARD QUESTION
Front
What is a Confounding Variable?
Back
A confounding variable is an outside influence that changes the effect of a dependent and independent variable. It can lead to incorrect conclusions about the relationship between the variables being studied.
5.
FLASHCARD QUESTION
Front
Is the sample of customers who agreed to be interviewed likely to be biased?
Back
Yes, because the sample only includes customers who were willing to participate, which may not represent the views of all customers.
6.
FLASHCARD QUESTION
Front
What is Cluster Sampling?
Back
Cluster sampling is a sampling technique where the population is divided into clusters (groups), and entire clusters are randomly selected to be included in the sample.
7.
FLASHCARD QUESTION
Front
What is the difference between Explanatory and Response Variables?
Back
The explanatory variable is the variable that is manipulated or changed in an experiment, while the response variable is the outcome that is measured.
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