
Ch 4 Test Review Honors Experimental Sampling

Quiz
•
Mathematics
•
10th - 12th Grade
•
Easy
Steven Ziesenheim
Used 9+ times
FREE Resource
28 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A restaurant wants to know if their customers buy dessert when they eat out. As people leave the restaurant one evening, 20 people are surveyed at random. Eight people say they usually order dessert when they eat out. The restaurant concluded that most customers do not order dessert. Identify the population:
All customers
8 customers
20 customers
dessert
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A restaurant wants to know if their customers buy dessert when they eat out. As people leave the restaurant one evening, 20 people are surveyed at random. Eight people say they usually order dessert when they eat out. The restaurant concluded that most customers do not order dessert. Identify the sample:
20 customers
All customers
8 customers
dessert
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
When one examines the entire population instead of a subgroup of the population, this is called a ___________.
Sampling
Census
Bias
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
In order to use samples to estimate something from the population, the sample should be __________ the population.
exactly the same as
nothing like
representative of
larger than
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The design of a study shows ________ if it is very likely to underestimate or overestimate the value you want to know.
convenience
bias
chance
correctness
6.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following samples are NOT random?
Systematic
Stratified
Cluster
Voluntary Response
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
You wish to survey people who have brought in their cars for service during the past month. You decide to pick a random sample of gas stations in the city and then survey all the customers from those who had work done during the past month. This is an example of
Cluster Sampling
Convenience Sampling
Simple Random Sampling
Stratified Random Sampling
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