Answer:
Step-by-step explanation:
x = original salary
$3800 = (1-9%)x = (1-0.09)x = 0.91x
x = $3800/0.91 = $4175.82
Answer:
e) The mean of the sampling distribution of sample mean is always the same as that of X, the distribution from which the sample is taken.
Step-by-step explanation:
The central limit theorem states that
"Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean approaches a normal distribution with a mean of μ and a variance of σ2/N as N, the sample size, increases."
This means that as the sample size increases, the sample mean of the sampling distribution of means approaches the population mean. This does not state that the sample mean will always be the same as the population mean.
The trick to calculating the area here is to subdivide the diagram into smaller parts. For example, there's a 3 cm-by-3cm square. The rectangle is 4 cm by 8 cm.. The triangle has a base of 5 cm and a height of 3 cm.
Total area = area of square + area of rectangle + area of triangle
= 9 cm^2 + 32 cm^2 + (1/2)(5 cm)(3 cm)
= (9 + 32 + 7.5) cm^2
= 48.5 cm^2 (total area of figure)
Answer:
778%, 7.42, and V48
Step-by-step explanation:
I think that is right
<span>The probability of having either a boy or a girl is statistically 0.5, and this makes sense at the chromosomal level - there are genetic reasons for it.
Why the observed ratio in families is different than predicted ratio is simply due to chance. Just like getting a string of heads when you flip a coin, you got 'lucky' - not real luck but just random coincidence. Your next coin toss could be a tail.
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