Answer:
1. E. All of the above
2. A. Confirmation bias
Explanation:
Data is collected for different reasons by various individuals and groups. Collecting data consumes time and can be very costly. In most cases, human error can lead to error in the dataset collected and bias in the information given.
Hypothesis testing is the theory or process of comparing a hypothesis with a null hypothesis. The null hypothesis is rejected only if the probability of the fall below the specified level of significance, thereby accepting the hypothesis which is said to be in the level of significance.