Quiz 7: Sampling distributions
Question 1
Suppose X1,…,Xn are independent and each Xi has mean μ and variance σ2. If
, what is the distribution of X when n is large ?
Question 2
Let X1,…,Xn be a random sample from a population with mean μ and variance σ2.
If
is the sample mean, then what is the standard deviation of X
?
Question 3
Suppose X1,…,Xn are independent and Xi ~ N(5,32) for i = 1,…,n. If
, what is the distribution of X ?
and so
.Question 4
Suppose X1,…,Xn are independent and Xi ~ N(3,52) for i = 1,…,n. If
, what is the distribution of X when n = 25 ?
= N(3,1).Question 5
Consider the random variable X with distribution N(3,1). What is the value of P(X > 3.6)?

Question 6
Suppose X1,…,Xn are independent and Xi ~ N(5,32) for i = 1,…,n. If
, what is the value of P(X > 2) if n = 36 ?


Question 7
A fair coin is tossed 30 times. The best approximation for the distribution of the number of heads is

Question 8
Suppose
. What is P(X > 18) ?
Hence, P(X > 18) = P

= P(Z > 6) = 1 - P(Z < 6) = 1 - Φ(6).
Note that there are no continuity corrections for X.
Question 9
Suppose X ~ B(30,0.5). Use a normal approximation for B to find P(X > 20).

Question 10
Suppose X ~ B(30,0.5). Use a normal approximation for B to find P(X < 13).

right first
right
wrong