Answer:
The appropriate probability model for X is a Binomial distribution,
X
Bin (<em>n</em> = 5, <em>p</em> = 1/33).
Step-by-step explanation:
The random variable <em>X</em> can be defined as the number of American births resulting in a defect.
The proportion of American births that result in a birth defect is approximately <em>p</em> = 1/33.
A random sample of <em>n</em> = 5 American births are selected.
It is assumed that the births are independent, i.e. a birth can be defective or not is independent of the other births.
In this experiment the success is defined as a defective birth.
The random variable <em>X</em> satisfies all criteria of a Binomial distribution.
The criteria are:
- Number of observations is constant
- Independent trials
- Each trial has only two outcomes: Success and Failure
- Same probability of success for each trial
Thus, the appropriate probability model for X is a Binomial distribution, Bin (<em>n</em> = 5, <em>p</em> = 1/33).
Answer:
It must travel through a medium
Step-by-step explanation: Because I said so >:(
Answer:
3/7 / 42.8% chance
Step-by-step explanation:
There are 6 striped balls (9, 10, 11, 12, 13, 14) and 8 (1, 2, 3, 4, 5, 6, 7, 8) solid colored balls. So, 6 / 14 balls are striped.
(6 / 14 = 3 / 7)
this means that the probability of a ball being striped has the odds of 3/7
(3/7 = about 42.8% chance)
Answer:
Step-by-step explanation:
6x-9y=3
+x-9y=-22
first you take x-9y=-22 *-1 which will equal -x+9y=22
then you add
6x-9y=3
+-x+9y=22
----------------
5x=25
÷5 ÷5= x=5 then you plug 5 into each x spot
Answer:
Roughly 3.02 times greater
Step-by-step explanation:
2720546/900000 = 3.022_ ( the underscore means the numbers go on. )