If an experiment sample size is too small, the size ________ the results

Explain one reason why sample size influences the reliability of research results.[3]

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

Which of the following accurately describes the effect of increasing the sample size?​Group of answer choices​Increases the standard error and has no effect on the risk of a Type I error​Increases the risk of a Type I error and has no effect on the standard error​Decreases the risk of a Type I error and has no effect on the standard error​Decreases the standard error and has no effect on the risk of a Type I erro

How does a researcher determine the appropriate sample size for a quantitative study?  A. By choosing the smallest possible sample size  B. By conducting a thorough literature review  C. By considering the research budget and time constraints  D. By using statistical formulas and power analysis

Question 7When collecting data for a study, what are some reasons to consider sample size? Select all that apply.1 pointTo include as many participants as possible in the studyTo collect data that represents a diverse set of perspectivesTo make sure a few unusual responses don’t skew resultsTo eliminate certain segments of a population