Final answer:
It is true that statistical procedures exist to correct for range restriction, attenuation, and sampling error. These adjustments are important for enhancing the accuracy of statistical analyses. Increased sample size, correction formulas, and design adjustments are some of the methods used to address these issues in data. Option A
Step-by-step explanation:
There are indeed statistical procedures designed to address and correct for range restriction, attenuation, and sampling error. These procedures are critical in ensuring the accuracy and reliability of statistical analyses, particularly when the data sampled may have limitations or biases.
For instance, when correcting for range restriction, statistical methods may adjust correlation estimates to more accurately reflect the relationship between variables had there been no restriction. Attenuation, which refers to the reduction in the apparent strength of a relationship due to measurement error, can be accounted for through reliability estimates and correction formulas.
Mitigating sampling error involves utilizing appropriate sample sizes and designs to ensure the representativeness of the sample and reduce the impact of random discrepancies.
Larger sample sizes tend to provide more reliable results, as per the central limit theorem, which states that with a sufficiently large sample, the sampling distribution of the means becomes approximately normal regardless of the shape of the data distribution. Sampling error can be reduced by increasing the sample size, which diminishes the chance error and enhances the precision of the estimates. Option A