ſhe distribution of the number of children in a household is strongly skewed right. Most households have 0, 1, or 2 lthough some have 3, 4, 5, or even more than 5 children. The mean number of children per household is μ = 2.75 tandard deviation o = 1.22 children. Describe the shape of the sampling distribution of x for SRSS of size n = 50 from the population of households Because n = 50 > 30, the sampling distribution of x will be approximately normal.

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The distribution of the number of children in a household is strongly skewed right. Most households have 0, 1, or 2 children,
although some have 3, 4, 5, or even more than 5 children. The mean number of children per household is μ = 2.75 children with
standard deviation o = 1.22 children.
Describe the shape of the sampling distribution of x for SRSS of size n = 50 from the population of households.
Because n = 50 > 30, the sampling distribution of x will be approximately normal.
Because n = 50 > 30, the sampling distribution of x will be skewed to the right, but not as strongly as the population.
50 > 30, the sampling distribution of x will be skewed to the right just as strongly as the population.
Because n =
Because n = 50 > 30, we do not have enough information to draw a conclusion about the shape of the sampling
distribution of x.
Because n = 50 > 30, the sampling distribution of x will be skewed to the right even more strongly than the
population.
Transcribed Image Text:The distribution of the number of children in a household is strongly skewed right. Most households have 0, 1, or 2 children, although some have 3, 4, 5, or even more than 5 children. The mean number of children per household is μ = 2.75 children with standard deviation o = 1.22 children. Describe the shape of the sampling distribution of x for SRSS of size n = 50 from the population of households. Because n = 50 > 30, the sampling distribution of x will be approximately normal. Because n = 50 > 30, the sampling distribution of x will be skewed to the right, but not as strongly as the population. 50 > 30, the sampling distribution of x will be skewed to the right just as strongly as the population. Because n = Because n = 50 > 30, we do not have enough information to draw a conclusion about the shape of the sampling distribution of x. Because n = 50 > 30, the sampling distribution of x will be skewed to the right even more strongly than the population.
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