Answer:
36
Then the experimental probability of rolling a number greater than four would be 36 or one-half. As the number of trials increases, the experimental probability will become close to the theoretical probability.


<---How much is produced by all the trees in a year.
They want how much each day so divide by 365


<---answer per day
Answer:
35 I think
Step-by-step explanation:
Answer:
Step-by-step explanation:
560=3s+b
b.
560=3×150+b
b=560-450=110
when s=149,b=560-3×149=560-447=113
s=2,b=560-3×2=560-6=554
s=1,b=560-3×1=557
s=0,b=560-3×o=560
so domain of b={110,113,116,...,554,557,560}
Given Information:
Population mean = p = 60% = 0.60
Population size = N = 7400
Sample size = n = 50
Required Information:
Sample mean = μ = ?
standard deviation = σ = ?
Answer:
Sample mean = μ = 0.60
standard deviation = σ = 0.069
Step-by-step explanation:
We know from the central limit theorem, the sampling distribution is approximately normal as long as the expected number of successes and failures are equal or greater than 10
np ≥ 10
50*0.60 ≥ 10
30 ≥ 10 (satisfied)
n(1 - p) ≥ 10
50(1 - 0.60) ≥ 10
50(0.40) ≥ 10
20 ≥ 10 (satisfied)
The mean of the sampling distribution will be same as population mean that is
Sample mean = p = μ = 0.60
The standard deviation for this sampling distribution is given by

Where p is the population mean that is proportion of female students and n is the sample size.

Therefore, the standard deviation of the sampling distribution is 0.069.