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- Confidence Intervals And Their Implications
Confidence Intervals and Their Implications
Interactive Video
•
Mathematics
•
10th - 12th Grade
•
Practice Problem
•
Hard
Thomas White
FREE Resource
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7 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a 95% confidence interval represent?
The certainty of the effect being positive.
The likelihood of the study being repeated.
The probability that the effect is exactly 95%.
The range within which the true effect lies 95% of the time.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the number of participants affect the confidence interval?
The number of participants does not affect the confidence interval.
More participants lead to a smaller confidence interval.
Fewer participants result in a narrower confidence interval.
More participants lead to a wider confidence interval.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a study with 1000 patients, what is the calculated confidence interval for a change of 14 degrees with a standard deviation of 5?
12.00 to 16.00
13.69 to 14.31
14.00 to 15.00
13.00 to 15.00
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens to the confidence interval when the sample size is reduced to 25 patients?
The confidence interval is unaffected by sample size.
The confidence interval becomes narrower.
The confidence interval becomes wider.
The confidence interval remains the same.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the effect of choosing a lower confidence level, such as 90%?
It results in a lower Z-value and a smaller interval.
It results in a higher Z-value and a wider interval.
It results in a higher Z-value and a smaller interval.
It has no effect on the Z-value or interval size.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does it mean if a confidence interval crosses zero?
The intervention is more effective than another.
The results are not statistically significant.
The results are statistically significant.
The intervention is effective.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is clinical relevance more important than statistical significance?
Because statistical significance is always misleading.
Because clinical relevance directly impacts patient care.
Because clinical relevance is easier to calculate.
Because statistical significance is not measurable.
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