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.
He can conclude that the system of equations has no solution since one equation in it always results with false equivalency.
Hope this helps.
r3t40
Answer:
2x + 3y = 10, 3y = 18 (in both cases, for each input x, there is exactly one output y.
Step-by-step explanation:
3y = 10 - 2x, or y = (1/3)(10 - 2x) Yes, this is a function.
4x = 16 → x = 4 NOT a Function, because for x = 4 there are an infinite number of possible y -values
2x - 3 = 14 → 2x = 17 → x = 17/2 Not a function. See reason given above.
3y = 18 → y = 6 Function
2x = 14.6 → x = 7.3 Not a function. See reason given above
You define a function f(x) which gives the cost of buying x packages of cookies. You are asked for the domain of the function. That is, what values can x take on? x is the number of packages bought.
It makes no sense to buy a negative number of packages. It also makes no sense to buy 1/2 a package or 3/4 of a package as the store won’t sell you a fraction of a package. Try going to the store and buying half a package of oreo cookies. I doubt you’ll get very far :)
So it makes sense to buy 0, 1, 2, 3, 4, ... boxes of cookies. These are whole numbers. So the domain is the set of whole numbers. You could also write the domain like this {0, 1, 2, 3, ...} making sure to use the curly brackets as those denote a set.
