Answer :
this is a complex problem invovlving multiplue variables.
fyi 58k=50,000 kstands for kilo means 1000
so
public vs private
58k vs 35k
71k vs 42k
85k vs 54k
this data is taken from 3 parts
each number is the middle number of each part
the first one:
top 10% eanes more than 60k
very likely becase none of the private university numbers list anything over 60k
second one:
interquartile is 19k more in public than for private
71k-42k=29k, not 19 so this is not likely
third one:
top 25% earnes more than 50k
this is more likely than the others because the data is from 1/3 and 1/3=33% and we are looking for 25% which is smaller and the numbers of the median is more than 50k so this is the most likely answer
fourth one
rangefor private is 27k more than for public
false since 72k>42k not the other way around
the answer is the third option (top 25%of privat and public reaned more than 50k per year)
fyi 58k=50,000 kstands for kilo means 1000
so
public vs private
58k vs 35k
71k vs 42k
85k vs 54k
this data is taken from 3 parts
each number is the middle number of each part
the first one:
top 10% eanes more than 60k
very likely becase none of the private university numbers list anything over 60k
second one:
interquartile is 19k more in public than for private
71k-42k=29k, not 19 so this is not likely
third one:
top 25% earnes more than 50k
this is more likely than the others because the data is from 1/3 and 1/3=33% and we are looking for 25% which is smaller and the numbers of the median is more than 50k so this is the most likely answer
fourth one
rangefor private is 27k more than for public
false since 72k>42k not the other way around
the answer is the third option (top 25%of privat and public reaned more than 50k per year)