Question

failing to reject a false null hypothesis is known as a error.
the process of determining whether the observed effects are significant is known as testing.
the mean is an estimate of the population mean based on the sample.
the level, usually set at 0.05, is the risk of committing a type i error.
the deviation measures the amount of variation or dispersion in a set of values.

Explanation:

• In hypothesis testing, a Type II error occurs when we fail to reject a false null hypothesis.
• Hypothesis testing is the process to check if observed effects are significant.
• The sample mean estimates the population mean based on sample data.
• The significance level (commonly 0.05) is the risk of a Type I error.
• Standard deviation measures variation/dispersion in a value set.

Answer:

1. Type II
2. Hypothesis
3. sample
4. significance
5. standard