Histogram, Confidence Interval for Mean & Intependent t test

THis is a masters level stastics class. Need ehlp with data analysis. Not sure I understand what is being asked. This is a subject I am not strong in.

The data that you will be using for this exercise came from a survey of two insurance carriers.
The first carrier (C1) was compared against the second competitor (C2). The insurance company management team
wants to know how Carrier 1 compared to the second carrier. Data from 159 respondents are included.
All of the 5 questions are rated on a scale of 1 to 5, with 1 being "much worse" and 5 being "much better"

1. Graph the 5 main survey variables in a histogram. On each of the graphs, show the grouped data for C1 compared to C2.
-For each graph you are going to graph out the data values, grouped by responses. You should have categories that are the responses 1-5.
-Your output should contain 5 histograms, and on each, display both the C1 and C2 data on the same graph.

What can you see from these graphs?
2. Create 95% confidence intervals for the mean for the 5 survey variables on Carrier 1.
3. Perform a t-test comparing each of the 5 variables for C1 to C2.
-For each question, state the null and alternative hypothesis that you will use for the test.
-Run the 5 t-tests and for each state whether or not it is significant
Note: You will only get 2 points for this part if you only include the analysis from the data. Even if everything is completely correct - interpretation is key here.
4. Interpret the data and write an brief (2 paragraph) executive summary to C1 management describing your findings.
-Remember that they are not statisticians and probably don't understand what a confidence interval is. Use plain English for your explanation.
The questions are on the first tab in excel and the data is on the second tab.

Thank You.