
Understanding Sample Size in Surveys

Interactive Video
•
Mathematics, Education
•
6th - 8th Grade
•
Hard

Olivia Brooks
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to choose the right sample size when conducting a survey?
To make the survey more interesting
To avoid using too much paper
To accurately represent the population
To ensure the survey is completed quickly
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a random sample?
A sample that is larger than the population
A sample that includes only the most important members
A sample where each member has an equal chance of being selected
A sample chosen based on convenience
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a biased sample affect statistical conclusions?
It provides more accurate results
It over or underrepresents certain characteristics
It speeds up the data collection process
It ensures all population characteristics are included
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the soup analogy, what does the size of the spoon represent?
The size of the population
The size of the sample
The flavor of the soup
The temperature of the soup
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it a misconception that the size of the population determines the size of the sample?
Because larger populations always need larger samples
Because the sample size is irrelevant
Because sample size should be based on the desired accuracy
Because smaller populations need larger samples
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main takeaway from the history exam analogy?
Exams should only cover the most recent topics
A few questions can accurately represent the entire course
The number of questions should balance coverage and manageability
Exams should have as many questions as possible
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the rule of not exceeding 10% of the population apply to sample size?
It ensures the sample is too small to be useful
It prevents the sample from being too large and unmanageable
It guarantees the sample is representative
It makes the sample size irrelevant
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