The z-score for 36,000 is (36,000 - 40,000) / (15,000 / √25) = -1.333
The z-score for 42,000 is (42,000 - 40,000) / (15,000 / √25) = 0.6667
P(36,000 < x < 42,000) = P(-1.3333 < z < 0.6667)
P(z < 0.6667) - P(z < -1.3333)
0.7475 - 0.0913
0.6562
Answer:
72 dollars I believe
Step-by-step explanation:
Answer:
eqaution 1: Proportinal
eqaution 2:Proportinal
Step-by-step explanation:
Answer:
B is incorrect because you could set them equal to each other
Consider this population data set: 4,6,7, 11, 12, 18, 26, 23, 14, 31, 22, and 12. The values 11, 31, 22, and 12 constitute a ran
Andrej [43]
Answer:
The population mean is the sum of the 12 data set values divided by 12:
4 + 6 + 7 + 11 + 12 + 18 + 26 + 23 + 14 + 31 + 22 + 12 = 186.
Therefore the population mean = 186/12 = 15.5.
The sample mean is the sum of the 4 sample values divided by 4:
11 + 31 + 22 + 12 = 76.
Therefore the sample mean = 76/4 = 19.
The sample mean is more than the population mean by 19 - 15.5 = 3.5.
hope it helped
Step-by-step explanation:
