1.what is the hypothesis in the scenario?2. Did the new oil change process take less or more time? How do you know?3. In the scenario, did you conduct a one or two tailed test?4. What is the P value? (Remember to interpret what the E05 means and round to three decimal places).5. Do you think as John does that the result is not statistically significant?6. Do the results prove anything?

Introduction You are a recent graduate of Embry-Riddle Aeronautical University and have been hired by John Jolly to run and interpret a t-test. John is the owner of John's Jolly Small Aircraft Quick Oil Change. John is experimenting with a new oil change process and is trying to determine if the current process takes more time than the new process he is experimenting with. John is comparing sample mean times to evaluate his hypothesis about the population (total number of oil changes). Over the period of a week, he took a random sample of oil changes using both the old and new processes. Using the information John provided, you ran a t-test for independent samples. These are the results (a = .05). t-Test: Two-Sample Assuming Unequal Variance Current Process New Process Mean 30.15 14.20 Variance 234.8710526 14.16842105 Observations 20 20 Hypothesized Mean Difference O df 21 t Stat 4.520032841 P(T