The distribution of final exam scores of all students taking Statistics at a large university are heavily skewed to the left with a mean of 87% and a standard deviation of 8.5%. Describe the shape of the sampling distribution of x for SRSS of size n = 35 from the population of statistics students at this university. Because n = 35 > 30, we do not have enough information to draw a conclusion about the shape of the sampling distribution of x. Because n = 35 > 30, the sampling distribution of x will be skewed to the left even more strongly than the population. Because n = 35 > 30, the sampling distribution of x will be approximately normal. Because n = 35 > 30, the sampling distribution of x will be skewed to the left, but not quite as strongly as the population. Because n = 35 > 30, the sampling distribution of x will be skewed to the left just as strongly as the population.

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The distribution of final exam scores of all students taking Statistics at a large university are heavily skewed to the left with a
mean of 87% and a standard deviation of 8.5%.
Describe the shape of the sampling distribution of x for SRSS of size n = 35 from the population of statistics students at
this university.
Because n = 35 > 30, we do not have enough information to draw a conclusion about the shape of the sampling
distribution of x.
Because n = 35 > 30, the sampling distribution of x will be skewed to the left even more strongly than the population.
Because n = 35 > 30, the sampling distribution of x will be approximately normal.
Because n = 35 > 30, the sampling distribution of x will be skewed to the left, but not quite as strongly as the
population.
Because n =
35 > 30, the sampling distribution of x will be skewed to the left just as strongly as the population.
Transcribed Image Text:The distribution of final exam scores of all students taking Statistics at a large university are heavily skewed to the left with a mean of 87% and a standard deviation of 8.5%. Describe the shape of the sampling distribution of x for SRSS of size n = 35 from the population of statistics students at this university. Because n = 35 > 30, we do not have enough information to draw a conclusion about the shape of the sampling distribution of x. Because n = 35 > 30, the sampling distribution of x will be skewed to the left even more strongly than the population. Because n = 35 > 30, the sampling distribution of x will be approximately normal. Because n = 35 > 30, the sampling distribution of x will be skewed to the left, but not quite as strongly as the population. Because n = 35 > 30, the sampling distribution of x will be skewed to the left just as strongly as the population.
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