Step-by-step explanation:
(a) A histogram is like a bar graph, but with ranges instead of values.
(b) The distribution is approximately uniform, with slightly more people at the younger and older ends than in the middle.
(c) The ages do not appear to come from a normal distribution. Normal distributions are bell-shaped, tall in the middle and short on the sides.
Answer:
Step-by-step explanation:
x^2-(2+2)x+4=0
or, x^2-2x-2x+4=0
or, x(x-2)-2(x-2)=0
or, (x-2)(x-2)=0
Now,
Either, x-2=0
=2
Or, x-2=0
=2
Answer:9
Step-by-step explanation:sun *3
Answer:
Explained below.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:
A random sample of <em>n</em> = 658 items is sampled randomly from this population.
As the sample size is large, i.e. <em>n</em> = 658 > 30, the Central limit theorem can be applied to approximate the sampling distribution of sample proportion by a Normal distribution.
Compute the mean and standard deviation as follows:
(a)
Compute the probability that the sample proportion is greater than 0.63 as follows:
(b)
Compute the probability that the sample proportion is between 0.60 and 0.66 as follows:
(c)
Compute the probability that the sample proportion is greater than 0.592 as follows:
(d)
Compute the probability that the sample proportion is between 0.57 and 0.60 as follows:
(e)
Compute the probability that the sample proportion is less than 0.51 as follows: