Type II error
A Type II error is also known as a "false negative" in statistics. It occurs when a null hypothesis is NOT rejected even though it is untrue. That is, you report no effect or no difference between groups when there is one.
A Type II error is also known as a "false negative" in statistics. It occurs when a null hypothesis is NOT rejected even though it is untrue. That is, you report no effect or no difference between groups when there is one.