Answer: 8 bins or 7.8
Step-by-step explanation:
Answer:
According to the Central Limit theorem, the distribution is roughly normal
Step-by-step explanation:
The Central Limit Theorem states that for sample sizes above 30 and not withstanding population distribution's shape, the sampling distribution of the sample mean becomes more similar t hat of a normal distribution as the sample size increases;
The size of the sample = 1,000 >> 30
As the sample size approaches infinity, we have;

= 1.5
S.D. = 1.8
n = 1000
Assume μ = 1, we get;

P(z > 1.7568) = 1 - 0.96080 = 0.0392
Therefore, it is very likely that the mean of the population is not larger than the sample mean
Therefore, yes, the Central Limit Theorem say that the distribution of the number of papers published by the individual sampled faculty in the past year is roughly normal
Answer:
Step-by-step explanation:
![\frac{2}{3}[(15-6)-8(8+1)]=\frac{2}{3}[9-8*9]\\\\=\frac{2}{3}[9-72]\\\\=\frac{2}{3}*(-63)\\\\=2*(-21)\\= -42](https://tex.z-dn.net/?f=%5Cfrac%7B2%7D%7B3%7D%5B%2815-6%29-8%288%2B1%29%5D%3D%5Cfrac%7B2%7D%7B3%7D%5B9-8%2A9%5D%5C%5C%5C%5C%3D%5Cfrac%7B2%7D%7B3%7D%5B9-72%5D%5C%5C%5C%5C%3D%5Cfrac%7B2%7D%7B3%7D%2A%28-63%29%5C%5C%5C%5C%3D2%2A%28-21%29%5C%5C%3D%20-42)
Answer:
Reduce the expression, if possible, by cancelling the common factors.
answer is 8/9
Step-by-step explanation:
Answer:
y=0.20p + 0.15n
Step-by-step explanation:
I believe this is correct I am 90% positive that it is right.