For the first question, find the mean, first quartile, minimum, maximum, and third quartile, and then graph on the x-axis (a number line). Then, create a line through the median, first, and third quartile. Lastly, connect the median, first and third quartile to make a box. Google images for more details.
Answer:
The difference between the sample statistic and population parameter is called sampling error.
Step-by-step explanation:
We are given the following in the question:
- A sample is a part of population, it is a subset of population.
- A sample statistic describes the sample. It is a characteristic of sample and different from the population.
- A parameter describes the population. It is characteristic of a population.
- A sample may not be able to represent the whole population and this may lead to error.
- Thus, sampling error is the difference between the sample statistic and population parameter.
- It arises when the sample is not able to describe the population.
The difference between the sample statistic and population parameter is called sampling error.
Y = 7.50x.....y = earnings per week , x = number of packages delivered
48 packages.....so x = 48
y = 7.50(48)
y = 360.....so if he delivers 48 packages, he earns $ 360
-16+-x/4=-3
-x/4=13
-x=52
x=-52
Answer:
4.12
Step-by-step explanation: