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.
Answer:
8.5
Step-by-step explanation:
1/9=0.1111111111111
0.1111111111111=0.1
83=80 or 85
0.1*85=8.5
Answer:
6
Step-by-step explanation:
The orange line doesn't pass 6, it stays at 6.
To simplify this expression, you have to remember that when
a number or a variable is raised to the negative exponent you have to
reciprocate the number. In this expression, c^-8 will be reciprocated so it
will become part of the numerator. Therefore, the final answer would be
12c^8/d^2.
Answer:
qwertyuiopppppppplkjhgfdsazxcvbnm
Step-by-step explanation: