Effect size values can help a researcher or reader determine1 pointstatistical significance.if you should reject or fail to reject the null hypothesis.if an effect is meaningful.the sample size.

Effect size values can help a researcher or reader determine

Question 2Why is effect size related to importance?1 pointEffect size provides a measure of the size of the difference that is not influenced by sample size.Effect size is another way to confirm the findings of hypothesis testing.Effect size includes sample size so it is reliable.Effect size indicates if the results of sampling are likely due to chance

A graduate student designs a research study. She hopes to show that the results of her experiment are statistically significant. What type of p-value indicates statistically significant results? A large p-value A small p-value The magnitude of a p-value has no impact on statistical significance.

A researcher conducts a study with a large sample size and finds a statistically significant result. However, the effect size is very small. What is the implication of this finding?  A. The study has high statistical power  B. The results are practically significant  C. The findings may not have real-world importance  D. The study has a Type II Error

The decision to reject or fail to reject the null hypothesis is based on:a.The researcher's personal beliefsb.The p-value obtained from the statistical testc.The sample size used in the studyd.The population size used in the study