The experiment is to toss a fair coin three times and count the number of heads observed over those three tosses.
(a) Random variable
Let X be the random variable.
X = the number of heads observed when you flip a coin three times.
(b) Probability distribution of x
Let us first find the sample space for this experiment.
When you flip a coin three times then the following outcomes are possible
{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}
Count the number of times you get 0 heads (x = 0)
1 ( TTT)
So, the probability is
P(x=0) = 1/8 = 0.125
Count the number of times you get 1 head (x = 1)
3 (HTT, THT, TTH)
So, the probability is
P(x=1) = 3/8 = 0.375
Count the number of times you get 2 heads (x = 2)
3 (HHT, HTH, THH)
So, the probability is
P(x=2) = 3/8 = 0.375
Count the number of times you get 3 heads (x = 3)
1 (HHH)
So, the probability is
P(x=3) = 1/8 = 0.125
Therefore, the probability distribution table of x is
(c) Shape of probability distribution of x
The shape of the probability distribution of x seems to be normal (symmetric)
(d) mean number of heads
The mean or expected number of heads is given by
Where x is the number of heads and p(x) is the corresponding probability.
Therefore, the mean number of heads is 1.5
This means that on average, you are expected to get 1.5 heads.