3) You are implementing a messaging campaign about annual flu vaccines. To evaluate the campaign's effectiveness, you create a survey that asks people to rate their intent to get a flu vaccine on a scale from 0 (not at all likely) to 5 (a certainty). You want to know if the average intention rating changes after the campaign has run in a city. You randomly select people in 35 cities to take this survey before & after the campaign. Use the flu data sheet and R Studio to answer the following questions.

ID	before	after
1	2.2	2.6
2	3.6	3.9
3	3.7	4
4	3.1	3.8
5	3.4	3.1
6	2	2.2
7	2.1	2.5
8	2.6	3
9	2.9	3.3
10	3.6	4
11	3.6	4
12	3.1	3.2
13	4.2	4.1
14	4.3	4.5
15	2.9	3
16	2.6	3.1
17	2.5	2.9
18	2.9	3
19	3.5	3.3
20	2.9	3
21	3.4	3.5
22	3	3.2
23	2.8	3.2
24	3.8	3.9
25	4.4	4
26	3.3	3.5
27	2.5	2.7
28	2.8	2.9
29	2.5	2.7
30	2.8	3
31	2.9	3.2
32	3.6	3.8
33	3.3	3.3
34	2.7	2.7
35	2.4	2.5

a) State your hypotheses.

b) Calculate the test statistic.

c) What is the p-value? Interpret the result in context.

d) Do you reject or fail to reject the null hypothesis at a 95% confidence level? Interpret the result in context.

e) What are two possible confounding factors in this study?

PLEASE DO NOT ANSWER MY QUESTION WITH SNAP SHOTS OF ANSWERS WRITTEN ON PAPER.