B. Sample mean used to estimate a population mean.
C. Sample variance used to estimate a population variance.
D. Sample proportion used to estimate a population proportion.
This is because the mean of the sampling distribution of the mean tends to target the population mean. Also, the mean of the sampling distribution of the variance tends to target the population variance.
This means that the sample mean and variance tend to target the population mean and variance, respectively, instead of systematically tending to underestimate or overestimate that value. This is why sample means and variances are good estimators of population means and variances, respectively. This is also true for proportions but not true for medians, ranges and standard deviations.
<h2>Answer:</h2><h3>The coordinates of a point satisfies the equation of a line if the point lies on the line
</h3><h3>If a single point satisfies the equations of two lines, the point is on both lines, so the lines will intersect at that point.
</h3><h3>This means that each point where the two lines touch is a solution to the system of equations
</h3><h3>This means that if you substitute the x and y values of the point for x and y in the equations, both equations will be true</h3><h2>Step-by-step explanation:</h2><h3>You haven't given any option. However, I have tried to complete this question according to what we know about system of linear equations. </h3><h3> ∧ ∧</h3><h3>⊂∵°ω∵°⊃ I hope this helps</h3>