When researchers study psychology, they need certain tools to check if their ideas (called hypotheses) are right. Here are some important tools they use:

1. t-tests: This tool helps compare the average scores of two groups. For example, if you want to see how sleep affects thinking, you could compare test scores of a group that got enough sleep with another group that didn’t sleep well.

2. ANOVA (Analysis of Variance): This tool is great when you want to compare more than two groups. Imagine looking at how different types of therapy affect anxiety levels. ANOVA can help you understand these differences.

3. Regression Analysis: This tool helps predict what might happen based on certain factors. For example, a psychologist might look at how stress levels can predict how well someone does on a thinking task.

4. Chi-square tests: This tool is useful when the data is in categories. It helps researchers see if there's a connection between two things, like if someone’s gender influences their choice of therapy.

Using these methods, researchers can come to thoughtful conclusions and find out if their hypotheses are supported or not.