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).
Any number above 1 gets greater, below 1 smaller (when above 0), while 1 itself remains the same. Negative numbers are more unpredictable.
Answer:
Vanilla milkshake = 1/3 and Chocolate milkshake = 2/3
Step-by-step explanation:
Given data:
Total ounce of milkshake = 12 ounce
Vanilla milkshake = 4
Chocolate is the rest <em>which can be interpreted as 12 - 4= 8 ounce</em>
Representing as fractions
<em>Vanilla milkshake = </em>4/12 <em>(Reducing to lowest terms that is diving numerator and denominator by common factor in this case 4)</em>
Vanilla milkshake = 1/3
Chocolate milkshake = 8/12 <em>(Reducing to lowest terms that is diving numerator and denominator by common factor in this case 4)</em>
Chocolate milkshake = 2/3
<em />
First one: x <= -1
Second one: x > 4/3
Since you logically OR them together, the answer will be simply the combination of them two:
x <=-1 or x> 4/3