Answer:
When evaluating a conditional statement like "If theory X is correct, then outcome Y will occur in my experiment," it's important to consider the types of evidence that would support a valid inference. Here are two types of evidence that could allow for valid inference:
1. Experimental Evidence: Conducting a well-designed experiment that tests theory X and measures outcome Y is a strong form of evidence. By carefully controlling variables, having a proper control group, and implementing rigorous data collection methods, you can gather empirical evidence to support or refute the conditional statement.
2. Empirical Data: Analyzing existing empirical data can also provide evidence for valid inference. This could involve reviewing previous studies, survey results, or statistical analyses that have been conducted by reliable researchers in the field. If multiple studies consistently demonstrate a correlation between theory X and outcome Y, it strengthens the validity of the inference.
By relying on both experimental evidence and empirical data, you can build a stronger case for supporting or rejecting the conditional statement. It's important to ensure that the evidence is reliable, replicable, and aligns with established scientific principles.
Step-by-step explanation: