BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -The prevalence of sampling errors can be reduced by increasing the sample size. As the sample size increases, the sample gets closer to the actual population, which decreases the potential for deviations from the actual population.

Detailed explanation-2: -The larger the sampling error, the less representative the sample. The distribution of characteristics of elements in a representative sample is the same as the distribution of those characteristics among the total population of elements.

Detailed explanation-3: -In general, larger sample sizes decrease the sampling error, however this decrease is not directly proportional. As a rough rule of thumb, you need to increase the sample size fourfold to halve the sampling error.

Detailed explanation-4: -The sampling error formula is equal to the standard deviation divided by the square root of the sample size. Thus, the given statement that as the sample size increases, the sampling error will increase as well is false.