
Understanding Confidence Intervals and Hypothesis Testing

Interactive Video
•
Mathematics, Education
•
10th Grade - University
•
Hard

Aiden Montgomery
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What were the two settings in which the university course was offered?
In-person and online
Online and hybrid
In-person and hybrid
Online and offline
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What percentage of students passed the in-person setting?
80%
75%
70%
85%
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of creating a 95% confidence interval in this context?
To determine the exact number of students passing
To estimate the difference in passing rates between settings
To find the average score of students
To compare the teaching methods
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a 95% confidence interval imply?
95% of the data is correct
95% of the time, the interval will contain the true proportion
95% of students will pass the course
The interval is 95% accurate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the null hypothesis in this hypothesis test?
The in-person setting is better
The online setting is better
The passing rates are the same
The passing rates are different
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What significance level is typically set in hypothesis testing?
1%
10%
5%
20%
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if the p-value is less than the significance level?
Accept the null hypothesis
Reject the null hypothesis
Increase the sample size
Decrease the confidence interval
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