Look at the variable "payroll" in the data set "payroll". it has 50 values, all between 100 and 400. count the number of values in each of the intervals 100 160, 160 220, 220 - 280, 280 - 340, 340 - 400. can you conclude that this data does not come from the uniform distribution on the interval (100,400)? (hint: if the distrbution is uniform, what is the expected count in each interval) the counting can be done with r's histogram fiunction > paycounts-hist (payrollspayroll, breaks-seq(100,400,60))scounts > paycounts do the calculations by hand, except for finding the p-value. then check your work by using r's "chisq. test" function > chisq. test (paycounts)

a) one student is chosen from classroom a, then a student is chosen from classroom b.  

step-by-step explanation:

independent events are ones in which the probability of one event does not affect the probability of the second event.

one student is chosen from classroom a; this does not affect the chances of choosing a student from classroom b.   this makes these independent events.

when one card is chosen from a standard deck and then set aside before a second card is chosen, the probability of the second card being chosen changes.   this makes them dependent events.

when one student is chosen from classroom a and then a second student is chosen from classroom a, the probability of choosing the second student changes.   this makes them dependent events.

when a letter is chosen from the alphabet and then a second letter is chosen, the probability of choosing the second letter changes.   this makes them dependent events.

a) 7x=7

step-by-step explanation:

the olimpics is not going to wokk out

step-by-step explanation: