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:
Antoinette's error
Option A) She distributed incorrectly.
Step-by-step explanation:
We are given the following information in the question:
Antoinette solves the linear equation
Antoinette made mistake in step 1 that is she did not distributed correctly.
If she would have distributed correctly, then she would have got the following solution:
Substituting x = -1 in the given equation, we gwt:
Antoinette's error
Option A) She distributed incorrectly.
Answer:
E = {0, 1, 2, 3)
Step-by-step explanation:
- <u>Integer</u>: a number with no decimal or fractional part, from the set of negative and positive numbers, including zero
- < means less than
> means more than
E = {0, 1, 2, 3)
Answer:
3x-18 = 39
3x = 57
x = 19
(3*(19))-18 = 39
57-18 = 39
3x-x+2=4
Step-by-step explanation:
hope it help
Answer:
Mean of sampling distribution = 25 inches
Standard deviation of sampling distribution = 4 inches
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 25 inches
Standard Deviation, σ = 12 inches
Sample size, n = 9
We are given that the distribution of length of the widgets is a bell shaped distribution that is a normal distribution.
a) Mean of the sampling distribution
The best approximator for the mean of the sampling distribution is the population mean itself.
Thus, we can write:
b) Standard deviation of the sampling distribution
