Inductive reasoning {Ans: Inferring general conclusions from specific observations.}Dependent variable {Ans: Measured variable not manipulated in an experiment.}Correlation {Ans: Measuring association between two variables.}Falsify {Ans: Testing and potentially refuting a claim; key in science.}Confounds {Ans: Factors hindering causal inference in experiments.}Empirical {Ans: Related to observation and verifying claims.}Type II error {Ans: Failing to reject null hypothesis when it's false in statistics.}Value {Ans: Belief about the ideal state of things.}Experimenter expectations {Ans: Influence of experimenter's expectations on study outcomes.}Population {Ans: All individuals in a specific group under study.}Objective {Ans: Free from personal bias.}Probability values {Ans: Threshold for determining chance occurrence in statistics.}Sample {Ans: Selected subset of a population for study.}Null-hypothesis significance testing (NHST) {Ans: Statistical test to determine chances of observed results under null hypothesis.}Fact {Ans: Objective information about the world.}Induction {Ans: Drawing general conclusions from specific observations.}Distribution {Ans: Relative frequency of a value for each possible value of a variable.}Scientific theory {Ans: Well-supported, consistent explanation for observed phenomena.}Generalize {Ans: Extending study conclusions to other groups or situations.}Type I error {Ans: Rejecting null hypothesis when it's true in statistics.}