create a two-tailed t-test ("two sample assuming equal variance") comparing the wait time of "lunchtime" and "evening" customers.

create a two-tailed t-test ("two sample assuming equal variance") comparing the wait time of "lunchtime" and "evening" customers.

HO: There is no difference in average wait time for lunchtime and evening customers.

HA: There is a difference in average wait time for lunchtime and evening customers.

Output-

1.      What is the mean wait time for the two groups to the second decimal (eg., 0.00)? 

2.      Can you make any statistical conclusions just looking the mean wait time? Why or why not?

3.      In the analysis, an Alpha of .05 is used. Using your own words, describe what an Alpha of .05 represents? 

4.      Is there a statistical difference in average wait time for lunchtime and evening customers? Explain.

5.      At what level is the difference of the two samples significant? 

6.      Describe what the level of significance means. 

7.      You are the manager of the bank. What are two conclusions you may come to after reviewing the data?