Answer:
The mean of the distribution of sample means is 27.6
Step-by-step explanation:
We are given the following in the question:
Mean, μ = 27.6
Standard Deviation, σ = 39.4
We are given that the population is a bell shaped distribution that is a normal distribution.
Sample size, n = 173.
We have to find the mean of the distribution of sample means.
Central Limit theorem:
- It states that the distribution of the sample means approximate the normal distribution as the sample size increases.
- The mean of all samples from the same population will be approximately equal to the mean of the population.
Thus, we can write:
Thus, the mean of the distribution of sample means is 27.6
78.8 rounded to the nearest tenths is 78.8
We can not round it to the tenths because it already is rounded to the tenths.
Answer:
x < -1.5 U x > 9.6
Step-by-step explanation:
12x + 7 < -11
x < -1.5
5x - 8 > 40
5x > 48
x > 9.6
This is a formula if you need one. DON'T forget to cross-multiply
3/4 = x/12
Answer:
A) The 75 is the initial number of cells, and the 2 indicates that the number of cells doubles every minute
Step-by-step explanation:
When x=0 (no minutes have elapsed), the value of the function is ...
f(0) = 75(2^0) = 75(1) = 75 . . . . the initial number of cells
As x increases by 1 (minute), the number of cells is multiplied by 2, so the 2 is the multiplier each minute. It indicates the number doubles. ("double" = "multiply by 2")
x is not defined, but for the function to make any sense, it must represent elapsed minutes.
