Suppose we drawa sample of observations: (X1, X2, X3,.. Each draw is independently and identically distributed. I'll refer to the distribution of each Xi as the "underlying distribution". In each situation below, what can we say about the distribution of the sample mean? Underlying distribution n-10
Underlying distribution is n-10
Underlying distribution is n-50
Underlying distribution is n-50

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.

ian gonna lie that is way to much

answer: 10 turtles

step-by-step explanation: as turtles have four legs so 4.10=40 therefore birds are 4 which sue counted