The confidence interval becomes smaller.
The width of the confidence interval increases.
The width reduces.
It goes up.
When you increase the sample size, the confidence interval typically becomes narrower. This occurs because a larger sample size reduces the standard error, leading to more precise estimates of the population parameter. As a result, while the confidence level remains the same, the interval reflects increased certainty about the estimate. However, the actual confidence level (e.g., 95%) does not change; it simply provides a tighter range around the estimate.
it increases
The confidence interval becomes wider.
The confidence interval is not directly related to the mean.
The confidence interval becomes smaller.
It depends on whether it is the Type I Error or the Type II Error that is increased.
The width of the confidence interval increases.
The width reduces.
It will decrease too. * * * * * If it is the confidence interval it will NOT decrease, but will increase.
What happens depends on the temperature coefficient of the diode. If that diode has a positive temperature coefficient, it resistance increases with increased temperature. A diode with a negative temperature coefficient does the opposite.
It goes up.
The width of the confidence interval willdecrease if you decrease the confidence level,increase if you decrease the sample sizeincrease if you decrease the margin of error.
The standard deviation is used in the numerator of the margin of error calculation. As the standard deviation increases, the margin of error increases; therefore the confidence interval width increases. So, the confidence interval gets wider.