Final answer:
The strength of evidence provided by the sample against a null distribution is impacted by the sample size, distribution of the data, and effect size.
Step-by-step explanation:
The strength of evidence provided by the sample against a null distribution is impacted by several factors.
1. Sample Size: A larger sample size generally provides stronger evidence against the null distribution. This is because a larger sample size reduces the variability and increases the precision of estimates.
2. Distribution of the Data: If the sample data follows a normal distribution, it provides stronger evidence against the null distribution. However, if the sample data does not follow a normal distribution, it may weaken the strength of the evidence.
3. Effect Size: A larger effect size, which measures the magnitude of the difference between the null distribution and the sample data, leads to stronger evidence against the null distribution.