Answer:
B is True
A, C. D are false
Step-by-step explanation:
Given :
Sample size, n = 120
Mean diameter, m = 10
Standard deviation, s = 0.24
Confidence level, Zcritical ; Z0.05/2 = Z0.025 = 1.96
The confidence interval represents how the true mean value compares to a set of values around the mean computed from a set of sample drawn from the population.
The population here is N = 10000
To obtain
Confidence interval (C. I) :
Mean ± margin of error
Margin of Error = Zcritical * s/sqrt(n)
Margin of Error = 1.96 * 0.24/sqrt(120)
Confidence interval for the 10,000 ball bearing :
10 ± 1.96 * (0.24) / sqrt(120)
Hence. The confidence interval defined as :
10 ± 1.96 * (0.24) / sqrt(120) is the 95% confidence interval for the mean diameter of the 10,000 bearings in the box.
Answer:
can be fourth one cause it starts at 2 on y axis. ( fourth option)
Step-by-step explanation:
can't be the first one cause it starts at origin
can't be second one cause it starts at -2 on x axis
can't be third on cause it starts on 2 on x axis
can't be fifth cause it starts on -2 on y axis.
Answer:
147
Step-by-step explanation:
if you multiply by .40 then subtract that from 245 you get 147
Answer:
0.5488 = 54.88% probability that there are no defects in the completed highway.
Step-by-step explanation:
In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:
In which
x is the number of sucesses
e = 2.71828 is the Euler number
is the mean in the given interval.
The portion of highway that your city is building is 30 miles long.
The mean is one defect per 50 miles. Since the highway is 30 miles, we have that:
What is the probability that there are no (0) defects in the completed highway?
This is P(X = 0). So
0.5488 = 54.88% probability that there are no defects in the completed highway.
