A researcher wants to perform a hypothesis test to see if the mean salary of the faculty in private and public institutions are different. Random samples of 36 faculty from private and public institutions were selected. Salaries of the selected faculty from private and public institutions are provided to you in facultysalary.csv file. 1. Make side-by-side boxplots of the salaries for faculty in private and public institutions (In MINITAB, go to Graphs-- >Boxplot-->and explore the available options to see how to make a side-by-side boxplot of the data). 2. Comment on your observations from the side-by-side boxplot made in part 1. 3. Calculate the descriptive statistics: mean, standard deviation for the two samples and attach the MINITAB output. 4. When carrying out a hypothesis test to achieve the aforementioned goal, would you recommend using pooled variance approach or unpooled variance approach? Provide reasoning for your choice. 5. Regardless what you recommend in part 4, carry out…

Dave Hughes owns a local restaurant. He wonders if a redesign of the menu will increase, on average, the amount customers spend when visiting his establishment. For the following scenario, pick a statistical method we discussed regarding comparing two groups that would be appropriate for analyzing the problem. a) Hughes records the mean sales the week before the change and the week after the change and then wonders whether the difference is statistically significant. [ Select ] b) Hughes randomly samples 100 people and shows both menus to each person, asking them to rate each menu from 0 (very poor) to 20 (excellent) and then wonders whether the difference is statistically significant. [ Select ] c) Hughes randomly samples 100 people and randomly separates them into two groups of 50. He asks those in group 1 to give a rating of ‘positive’ or ‘negative’ to the old menu and those in group 2 to give a rating of ‘positive’ or ‘negative’ to the new menu. He then computes the proportion of…

Please don't answer of this statistics and probability question without knowledge.