A coach uses a new technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores were recorded before and after the training. The results are shown below.   Subject A B C D E F G Before 9.5 9.4 9.6 9.5 9.5 9.6 9.7 After 9.6 9.6 9.6 9.4 9.6 9.9 9.5 Using a 0.01 level of significance, test the claim that the training technique is effective in raising the gymnasts' scores. (Before-After)    Complete the following analysis. 1. This is a [ Select ] right two left -tailed test. 2. The test statistic is equal to t= [ Select ] -0.88 1.93 -3.12 -0.21 . 3. If the value of the test statistic is less than [ Select ] -3.14 -1.96 -1.645 -1.58 then you will reject the null hypothesis.  4. If the P-value is less than [ Select ] .1 .01 .05 .005 , then you will reject the null hypothesis. 5. The P-value is equal to 0.21 .  6. [ Select ] Fail to reject Reject the null hypothesis. 7. At the 1% significance level, there is not evidence to support the claim that the technique is effective in raising the gymnasts' scores.   (You should technically be checking graphs to make sure that certain assumptions are met. Of course, this data doesn't meet these conditions, so in real life you wouldn't do this analysis. You would need another method than what I have given you. However, we are just going to check that we can do the computations, even if they are meaningless in this case.)          Multiple dropdown selections