A single sample t-test is used to determine whether or not there is a significant difference between 2 mean scores.

Run a one sample t-test on all the Hogwarts subjects (Defence, Potions, Herbs, Care and Charms) using a test value of 55%. 

Subsay wants to find out if there are significant differences between levels of satisfaction and the reason that the respondent was in town. Using the appropriate test, determine if satisfaction levels differ amongst 'Workers', 'Day shoppers' and those respondents who were 'Travelling through' town on all of the Likert scale items in the survey. Indicate which ones show a significant difference (select all that apply).

The most common measures of variability are the ________ and ________.

Males (mean = 3.80, SD = 1.136) were significantly (t= 19.125, df = 540, p = <.001) more likely than females (mean = 2.07, SD = 0.957) to need a snack to fill up.

Males (mean = 3.94, SD = .753) and females (mean = 3.89, SD=0.714) were equally satisfied (t= 0.806, df = 540, p = 0.421) with how promptly they were served.

Females (mean = 4.20, SD = 0.949) was significantly greater (t= -1.774, df = 540, p = 0.038) than males  (mean 4.05, SD = 1.011) to find the 'bread soft and fresh'.

In the following questions, there are going to be some statements, you need to determine if they are true or false. If anything in the statement is incorrect, it must be deemed "false"

Males (mean = 4.31, SD = 0.794) are significantly more likely than females (mean = 4.15, SD = 0.971) to find the 'sub' sandwich delicious (t=2.156, df=540, p = 0.016).

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. 

What percentage of the sample were male commuters?