Answer: (A) CDD
if D=C^-1
then
C D D = (C C^-1) D = I D = D
(where I is the identity matrix)
Answer:
Normal distribution is a Continuous distribution.
Step-by-step explanation:
Normal Distribution:
The following information is true about normal distribution.
- Theoretically, the mean, median, and mode are the same.
- Its parameters are the mean, mu, and standard deviation, sigma.
- About two thirds of the observations fall within plus or minus 1 standard deviation from the mean.
But normal distribution is not a discrete distribution. It is a continuous distribution.
- The normal distribution is a continuous probability distribution. This has several implications for probability.
- The probability that a normal random variable X equals any particular value is 0.
Answer:
Answer A
Step-by-step explanation:
Answer A indicates some minimal value for the set of points to the left (negative side of the distribution) which are associated with negative skewness since the mean is at 22 also with larger deviation to the left shown in the median of the points to the left further to the negative side of the plot.
Answers B and C show symmetric distributions (no skewness at all).
Answer D would represent skewness to the right (positively skewed)
So the correct answer is answer A.
Answer:
y/x = R
Step-by-step explanation:
The two quantities x and y are proportional means they have a relation.
The equation is;
y= Rx ------to find the proportional R you make R the subject of the formula;
y/ x = R
