Answer:
Significance of the mean of a probability distribution.
Step-by-step explanation:
- The mean of a probability distribution is the arithmetic average value of a random variable having that distribution.
- For a discrete probability distribution, the mean is given by,
, where P(x) is the probabiliy mass function. - For a continuous probability distribution, the mean s given by,
, where f(x) is the probability density function. - Mean is a measure of central location of a random variable.
- It is the weighted average of the values that X can take, with weights given by the probability density function.
- The mean is known as expected value or expectation of X.
- An important consequence of this is that the mean of any symmetric random variable (continuous or discrete) is always on the axis of symmetry of the distribution.
- For a continuous random variable, the mean is always on the axis of symmetry of the probability density function.
3(x-2)+2(4x-1)
=3x-6+8x-2
=11x-8
Answer:
C. I and II
Step-by-step explanation:
In q1, all trig functions are positive. q2, sin and csc is positve. hope this helps!!
Answer:
Hence the circumference of the circle is: 6π or 18.84 units
Step-by-step explanation: