How many commuters were in the sample?

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

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?

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

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?

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'

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

'My "sub" (sandwich) was delicious and 'The bread was soft and fresh' have similar mean scores, 4.23 and 4.13. Are they the effectively the same or are they significantly different?