Final answer:
Statistical significance is easier to achieve with a larger sample size, even for small differences in data.
Step-by-step explanation:
Statistical significance is a measure used in hypothesis testing to determine if the results of a study are likely to be due to chance or if they represent a true effect. The statement that is true of statistical significance is d. The higher the number of cases, the easier it is to get statistical significance. This means that with a larger sample size, even small differences in data can be found to be statistically significant. It is important to note that statistical significance does not necessarily imply real-world significance, as real-world significance depends on factors beyond statistical analysis.