Hi! Can you please help me set up this problem via Minitab Express? I always get confused on which functions to navigate to within the tool. I use this version of Minitab Express though:

Question Set 1: Pennsylvania State Residency by Campus Researchers are comparing the proportion of Penn State University Park students who are Pennsylvania residents to the proportion of Penn State World Campus students who are Pennsylvania residents. Data from a random sample are presented in the contingency table below. Primary Campus University Park World Campus Pennsylvania Yes 62 40 Resident No 54 55 A. Construct a 95% confidence interval to estimate the difference between the proportion of all University Park students who are Pennsylvania residents and the proportion of all World Campus students who are Pennsylvania residents. If assumptions are met, use the normal approximation method. Explain how you checked assumptions. Use Minitab Express; you should not need to do any hand calculations. Remember to copy+paste all relevant Minitab Express output and to clearly identify your answers. [15 points]C. Use the five-step hypothesis testing procedure given below to determine if there is evidence of a difference between the proportion of University Park students who are Pennsylvania residents and the proportion of World Campus students who are Pennsylvania residents. If assumptions are met, use the normal approximation method. Use Minltah Express; you should not need to do anyr hand calculations. Remember to We" relevant Minitah Express output and to clearly' identify your answers. [25 points] Step 1: Check assumptions and write hypotheses Step 2: Calculate the test statistic Step 3: Determine the p-value Step 4: Decide to reject or fail to reject the null hypothesis Step 5: State a real-world conclusion DATA TOOLS Untitled - Minitab Express FILE HOME DATA GRAPHS STATISTICS EDIT foo M Distribution CDF/PDF Describe Normality One Two Resampling Exploratory ANOVA Factorial Correlation Regression Binary Chi-Square Cross Tabulation Continuous Attribute Graphs and Forecast Calculations Plot Test Sample Samples Plots Plots Logistic Goodness-of-Fit and Chi-Square Probability Distributions Summary Statistics Inference Analysis of Variance Regression Tables Control Charts Time Series