
Sampling Methods and Bias Analysis

Interactive Video
•
Mathematics, Science, Social Studies
•
6th - 8th Grade
•
Hard

Thomas White
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal when discussing bias in sampling?
To avoid collecting any data.
To select samples based on personal preference.
To make sure that the sample is representative of the population.
To ensure that all samples are identical.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the movie theater survey example, what was a major flaw in the sampling method?
The survey was conducted at multiple theaters.
The survey included only adults.
The sample only included children aged 4 to 11.
The sample size was too large.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to have a representative sample in a survey?
To ensure the survey is completed quickly.
To accurately reflect the characteristics of the entire population.
To focus on a specific group within the population.
To reduce the cost of conducting the survey.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential issue with asking only the basketball team about their voting preferences?
The team is not involved in the election.
The team may not represent the entire student body.
The team members may not be interested in voting.
The team is too large to survey.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the straw experiment, why might the average straw length be overestimated?
Shorter straws are more likely to be selected.
Longer straws are more likely to be selected.
The straws are not numbered.
All straws are of the same length.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key factor in ensuring a sample is selected at random?
The sample size is very small.
The sample is selected from a single location.
Each member of the population has an equal chance of being selected.
The sample is selected based on convenience.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can bias be reduced when a sample cannot be selected at random?
By trying to make the sample as diverse as possible.
By selecting samples based on personal preference.
By selecting samples from different locations.
By increasing the sample size.
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