Your answer is no solutions.
Multiply the first equation by - 2.
- 2(3x - 2y = 6)
- 6x + 4y = -12
Combine the like terms of this equivalent equation and the original second equation.
- 6x + 4y = -12
6x - 4y = 14
Everything on the left side of the equal sign cancels out leaving you with:
0 ≠ 2
Because this statement is not true, it means there are no solutions to this system of equations.
No. -3=2(4)+1 simplifies down to -3=9 and that is not true
A function of random variables utilized to calculate a parameter of distribution exists as an unbiased estimator.
<h3>What are the parameters of a random variable?</h3>
A function of random variables utilized to calculate a parameter of distribution exists as an unbiased estimator.
An unbiased estimator exists in which the difference between the estimator and the population parameter grows smaller as the sample size grows larger. This simply indicates that an unbiased estimator catches the true population value of the parameter on average, this exists because the mean of its sampling distribution exists the truth.
Also, we comprehend that the bias of an estimator (b) that estimates a parameter (p) exists given by; E(b) - p
Therefore, an unbiased estimator exists as an estimator that contains an expected value that exists equivalent to the parameter i.e the value of its bias exists equivalent to zero.
Generally, in statistical analysis, the sample mean exists as an unbiased estimator of the population mean while the sample variance exists as an unbiased estimator of the population variance.
Therefore, the correct answer is an unbiased estimator.
To learn more about unbiased estimators refer to:
brainly.com/question/22777338
#SPJ4
Answer:
(15.8495,16.2505)
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 16.05 ounces
Standard Deviation, σ = 0.2005 ounces
We are given that the distribution of amount poured into the bottles is a bell shaped distribution that is a normal distribution.
Empirical rule:
- It states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ).
- It shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).
Confidence interval:
Putting the values, we get,
You get the mean by finding the middle term if its an odd number if its an even number get the 2 middle numbers add thema nd divide them by 2 in this case the answer would be 9
Hope this helps
