Question

the default position that suggests there is no significant effect or difference is known as the hypothesis.
the hypothesis proposes a significant effect or difference.
the level, often set at 0.05, is the threshold at which the null hypothesis is rejected.
a error occurs when the null hypothesis is rejected when it is true.
failing to reject the null hypothesis when it is false is known as a error.

Explanation:

• The null hypothesis assumes no significant effect or difference.
• The alternative hypothesis claims a significant effect or difference.
• The significance level (e.g., 0.05) decides null - hypothesis rejection.
• A Type I error wrongly rejects a true null hypothesis.
• A Type II error fails to reject a false null hypothesis.

Answer:

1. null
2. alternative
3. significance
4. Type I
5. Type II