Question

By increasing the sample size, which type of error can be reduced?

No error can be reduced by the way of increasing sample size
All types of errors can be reduced by increasing the sample size
Systematic error can be reduced by increasing the sample size
Random error can be reduced by increasing the sample size

Answer 1

Answer:

by increasing sample size , random error can be reduced

Answer 2

Random error can be reduced by increasing the sample size

By increasing the sample size, random error can be reduced by increasing the sample size of error can be reduced.

• By increasing the sample size, sampling errors can be less common. An other strategy for reducing sample errors is random sampling.
• Assuming a constant alpha level, increasing the sample size has no effect on the Type I error. However, everything else being equal, the probability of a Type II error diminishes with increasing sample size (i.e., the alpha level and the size of the true population effect).
• Smaller standard errors are produced by larger samples. An increase in sample size by a factor of C reduces the standard error by a factor of one over the square root of C. This relationship is known as an inverse square root relation.
• Each sampling distribution's variability diminishes as sample size rises, making the distributions more and more leptokurtic. The sample distribution's range is less than the original population's range.
• By expanding the sample, you can reduce standard error. The easiest method to reduce sampling bias is to use a big, random sample.

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