Answer:
mean = 2.25
standard deviation = 1.34
Step-by-step explanation:
The mean of the distribution can be calculated as the sum of each value of x times P(x), so taking into account the table, we get that the mean is equal to
mean = 0(0.10) + 1(0.20) + 2(0.30) + 3(0.20) + 4(0.15) + 5(0.05)
mean = 0 + 0.2 + 0.6 + 0.6 + 0.6 + 0.25
mean = 2.25
Therefore, the mean is 2.25
On the other hand, the variance is equal to the square of the difference between each value and the mean multiplied by its probability, so
variance = (0 - 2.25)²(0.10) + (1 - 2.25)²(0.20) + (2 - 2.25)²(0.30)
+ (3 - 2.25)²(0.20) + (4 - 2.25)²(0.15) + (5 - 2.25)²(0.05)
variance = 0.51 + 0.31 + 0.02 + 0.11 + 0.46 + 0.38
variance = 1.79
Then, the standard deviation is equal to the square root of the variance, so
standard deviation = √1.79
standard deviation = 1.34
Therefore, the standard deviation is 1.34