Sampling and Inferential Statistics (Quiz Only)

Quiz
•
Science
•
12th Grade
•
Easy
+1
Standards-aligned
S. McMillan
Used 1+ times
FREE Resource
35 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why are university students like Risse and Connor often encouraged to participate in psychological research?
To improve their grades
To gain firsthand experience in research
To fulfill a course requirement
To avoid other assignments
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why are professors like Dr. Kaylee and Dr. Lia eager to have students like Sanique and Brianna participate in research studies?
To reduce their own workload
To provide students with practical research experience
To increase the university's funding
To ensure students pass their courses
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is a potential problem with drawing conclusions from research on university students like Tamin and Alysa?
The conclusions may not apply to the entire human race
The data collected is often inaccurate
The sample size is too large
The research is too expensive
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the issue with trying to determine the typical mass of a living adult human being?
It is impossible to weigh every adult human on the planet
There is no way to define "typical"
The data is too complex to analyze
The resources required are too expensive
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In the context of studying university students, what would be considered the sample?
The entire human race
The group of students tested
The average mass of an adult human
The data collected from the research
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Madeline and Thomas are conducting an experiment. What is one of the most important concepts in experimental design mentioned in the text?
Randomness
Precision
Accuracy
Consistency
Tags
NGSS.MS-ETS1-3
NGSS.MS-ETS1-4
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why is it difficult for Brianna and Emily to generalize conclusions from a sample to the entire population?
Because the sample is always too small
Because we can't be 100% certain without testing the entire population
Because the sample is always biased
Because the sample is always too large
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