Step-by-step explanation
Increasing the sample size decreases the width of confidence intervals because it decreases the standard error.
Explanation: Sample Size: Smaller sample sizes generate wider intervals. There is an inverse square root relationship between confidence intervals and sample sizes.
Larger samples give narrower intervals. We are able to estimate a population proportion more precisely with a larger sample size.
As the confidence level increases the width of the confidence interval also increases. A larger confidence level increases the chance that the correct value will be found in the confidence interval. This means that the interval is larger.
Thus, Decreasing the sample size while the confidence level remains the same, will make the length of the confidence interval Bigger
The answer is: Make it bigger