A statistical test does not acceot the null hyoothesis but either rejects or fails to reject it. Imagine that you generated a dataset made of 1000 data samples using a random number generator for normal distribution. Now imagine that you use a statistical test to check how well the generated data set conforms to a normal variable. Unexpectedly the test rejects the null hypothesis that the data actually comes from a normal distribution. Given that you know that the data should be normally distributed null hypothesis is true. Give two strategies that you would consider to change the outcome of the statistical test and explain why you would believe these strategies work