Answer:
Narrower with the same probability of reporting an incorrect interval
Step-by-step explanation:
Increasing the sample size shrinks the width of the confidence interval because the larger the sample size, the more accurate the sample represents the true population. Â
Standard Error is calculated by multiplying the z or t score of the confidence level by the standard deviation, then dividing by the square root of the sample size
E = z(s)/√n  Â
t scores are used for samples below a size of 30. Â All t values for 95% confidence are higher than the z score of 1.96, which is used when the sample is greater than 30. Â This causes a larger value for the error estimate, therefore creating a larger width for the confidence interval.