I want to determine whether there are any significant differences between Commuters and people who work in the city ('locals' as opposed to the 'commuters') and their attitude towards the  quality, quantity and service Subsay offer. Which items show a significant difference? Tick all that apply. 

Who is more likely to be satisfied with how prompt the service at Subsay is?

Recode 'Visit' into a new variable called 'REASON'. The new variable will contain reasons for coming to town. 1 will be 'Work nearby', while 2 will be 'commuters' (made up of 'shoppers' and people who are 'passing through town'). Having created this variable, determine whether or not there is a significant difference between the genders and the reason that they are in town. How many male commuters were there?

Is there a significant difference between males and females and the reason that they were in town?

I want to know if there is a significant difference between the mean scores for males and females for the item 'My sub (sandwich) was delicious'. What is the sig value tells me this? (Use 3 decimal places).

If I want to determine the difference between the mean scores of males and females for each of the items in the questionnaire, what test should I undertake?

Which items show a significant difference between males and females mean scores in all the quality, quantity and service measures?

What is the 'sig' value that would tell me that there was (or is not) a significant difference between male and female's the standard deviations of the item 'My "sub" (sandwich) was delicious'

Using the last test undertaken. What is the sig value for the two mean scores to just be different?