The Type I and Type II error rates and Power all influence each other. Consider the following scenario: Researchers investigating Grade 12 students' perceptions of online learning during COVID-19 lockdowns decided to increase the significance level (alpha) that they would use from 0.02 to 0.05. Drag and drop to correctly complete the following statements. is not rejecting the null hypothesis when it's actually false. is rejecting the null hypothesis when it's actually true. is the probability that a test will correctly reject the null hypothesis. . Alpha is the probability of . Increasing alpha decreases the probability of . Increasing alpha increases the probability of . Increasing alpha increases the . An effect of increasing the significance level (alpha) from 0.02 to 0.05 would be to increase the chance of making a Power Type I error Type II error