Problem \"33 points total): You are studyingthe outcomes of various styles of training programs for technicians. Twenty-three technicians were randomly assigned to one of ve training types. Scores on the quality oftheir next job after training were recorded slow, with higher scores meaning a higher quality outcome. Training Type Score 1 8 7 5 5 10 10 8 9 10 7 10 9 lllszszbwwwwwNNNNNNblblbl >- o 1. (5) Describe the data by creating a bar graph using JMP to display the means and standard errors of scores for each training type. 2. (1) what is the dependent variable (outcome) in this experiment? 3. (2) What is the independent factor, and how many levels are there? 4. (13) Determine if the dataset meets the three ANOVA assumptions. Show all JMP output and provide a conclusion for each assumption. Provide an overall conclusion to answer whether we can use ANOVA on this dataset. 5. (5) Assuming part 4 is satisfactory, run an ANOVA to see ifthere is a difference in scores. Show the JMP output. State which numbers are useful in concluding, and state your conclusion in practical language. 6. (4) Run a Tukey HSD test to determine if specic training types differ in scores. Show the JMP output and discuss which pairs are significantly different. 7. (3 points) Overall conclusion: Is there a difference between the trainingtypes on technician product quality? Provide discussion on which types are better or worse in terms ofoutcomes. Support your answer with both statistical (numerical) evidence and practical interpretation. Be concise: answer the questions directly. You do not need any formal hypothesis testing