Description
Part 1
The questions in Part 1 refer to the data in the file
‘fastfood1.csv’. The file has two columns, “storenum”
that gives the store number, and “secs” that gives the
number of seconds required to fill the order.
(a) Determine the average amount of time required to fill
all orders in the data set.
(b) Find the maximum and minimum amount of time required to
fill an order. Then determine the number of orders with
the maximum time, and the number of orders with the minimum time.
(c) Determine the average amount of time required by store 777 to fill
its orders.
(d) Determine the number of records from store 321 in the data set.
(e) Find the mean number of seconds
needed to fill an order by stores 700-750.
(f) Find a 95% confidence interval for the proportion of orders for
stores 500-600 that required more than 200 seconds to fill.
(g) Determine the number of distinct stores in the data set.
(h) Determine which store has the lowest mean order time, and which
store has the highest mean order time.
(i) Determine the median number of orders for a single store.
%%
Part 2
The questions in Part 2 refer to the data in the file
‘samplegrades.csv’.
(a) Compute the mean and sample standard deviation for
both the Course Average and the SAT Writing score.
(b) Find the mean Final exam score for all females
in the class.
(c) Repeat (b), this time for all males in the TR930
section.
(d) Compute the mean Homework score for all 1st-years
and then for all 4th-years.
(e) Find the probability that a randomly selected 2nd-year
was in the MW200 section.
(f) Sort the DataFrame on the CourseAve
variable, then determine the mean course average
for the students with the top-20 averages.
(g) Determine the bottom-10 final exam scores for
students in the MW200 section.
(h) Among the students in the top-20% for APDE,
determine the percentage that finished in the
top-20% for course average.
(The top-20% is the top 113 stduents. Be careful of ties!)
