Final answer:
Dr. Hazlett would likely conclude that the statistically significant results of her experiment mean that the observed effects have a low probability of occurring by chance, implying that the experimental hypothesis is supported.
Step-by-step explanation:
When Dr. Hazlett determined that the results of her experiment were statistically significant, she would most likely conclude that the results occurred by chance at a level lower than her pre-set alpha level, typically 5%. This means that there is less than a 5% probability that the observed differences or effects happened purely due to random chance in the sample she observed. Statistically significant results suggest that the data is not likely to have occurred under the null hypothesis but do not automatically imply that the results are valid, reliable, or have practical significance. The determination of validity and reliability often requires further examination beyond statistical significance, while practical significance involves considerations beyond just the p-values, such as the size and importance of the effect in a real-world context.