Respuesta :
The margin of error decreases with an increased sample size and increases with an increase in confidence level.
With such a larger sample size, the margin of error lowers (grows or decreases), whereas, at a higher confidence level, it increases (increases or declines).
The margin of error:
- A margin of error increases as the confidence level rises, resulting in a larger interval.
- A margin of error is reduced as confidence is increased, resulting in a narrower interval.
- By increasing sample size and confidence level, the margin of error lowers and grows.
Margin of error [tex](E) = Z_c * {\frac{\sigma}{\sqrt{n}}}[/tex]
- Here [tex]Z_c[/tex] denotes the confidence level's critical value.
- Whenever it comes to sample size, n is the number of people who take part in the study.
- As a result, the margin of error lowers as the sample size grows, and the margin of error increases as the confidence level grows.
Find out more about the margin of error here:
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