What is the difference between a sample statistic and a population parameter? a. a sample statistic is frequently impractical or impossible to find for large samples, however a population parameter is often easier to find and provides a reasonable approximation to the sample statistic. b. a population parameter is frequently impractical or impossible to find for large populations, however a sample statistic is often easier to find and provides a reasonable approximation to the population parameter. c. a sample statistic is a subset of a population parameter. d. a population parameter is a subset of a sample statistic. e. there is no difference between a sample statistic and a population parameter?

The answer is B. Population parameter involves examining everyone who fits the description you are looking at, which is simply impractical if you’re surveying a large number of people. Studying a smaller sample of subjects is generally more doable but by using inferential statistics, it is possible to arrive at a close approximation to the population parameter.

step-by-step explanation:

12: 00 p.m. to 7: 00 p.m. is a total of 7 hours.

4: 00 p.m. to 7: 00 p.m. is a total of 3 hours.

this means that from 4: 00 p.m to 7: 00 p.m. this represents 3/7 of what was lost from 12: 00 p.m. to 7: 00 p.m.

after knowing this, after doing 11,600 - 6,800 = 4,800

4,800 represents 3/7 of what was lost for 7 hours.

we then divide 4,800 by 3 which gets 1,600.

because we know that 1,600 represents 1/7 of how much water was lost, we just have to multiply by 7, which gets 11,200.   after adding 11,200 to how much water was left at 7: 00 p.m. which was 6,800. 11,200 + 6,800 = 18,000

this means that the pool originally had 18,000 gallons in the pool.

you can also check your work by doing 18,000 - 4(1600), which becomes           1800 - 6400 which gets you 11,600.

35x 3= 105

step-by-step explanation:

35+35= 70   70 + 35= 105