Quantitative Methods Questions
Hypothesis testing in statistics is a process used to make inferences or conclusions about a population based on a sample. It involves formulating a null hypothesis, which assumes that there is no significant difference or relationship between variables, and an alternative hypothesis, which suggests that there is a significant difference or relationship. Statistical tests are then conducted to determine the likelihood of observing the sample data if the null hypothesis is true. If the likelihood is very low, the null hypothesis is rejected in favor of the alternative hypothesis, indicating that there is evidence to support the proposed difference or relationship in the population.