Increase sample size.
No, the opposite is true.
False, Increase the sample size.
The larger the sample, the lower the % error.. so to reduce a % error, increase your sample size.
The confidence interval becomes smaller.
yes the size is 4444
Increase sample size.
No, the opposite is true.
Zero
Estimates based on the sample should become more accurate.
The statement is false. For a fixed alpha, an increase in the sample size will cause a decrease in beta (but an increase in the power).
Increase n or sample size.
False, Increase the sample size.
The increase in sample size will reduce the confidence interval. The increase in standard deviation will increase the confidence interval. The confidence interval is not based on a linear function so the overall effect will require some calculations based on the levels before and after these changes. It would depend on the relative rates at which the change in sample size and change in standard deviation occurred. If the sample size increased more quickly than then standard deviation, in some sense, then the size of the confidence interval would decrease. Conversely, if the standard deviation increased more quickly than the sample size, in some sense, then the size of the confidence interval would increase.
The larger the sample, the lower the % error.. so to reduce a % error, increase your sample size.
The estimated standard deviation goes down as the sample size increases. Also, the degrees of freedom increase and, as they increase, the t-distribution gets closer to the Normal distribution.
Increasing your sample size might help