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PRiiNNCE PRiiNNCE
wrote...
Posts: 316
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6 years ago
When sampling two at a time, 1000 times repeatedly from a population, the sample size is:
  1.1000
  2.2000
  3.2

Q. 2

The relationship between the mean and median from the US population histogram is:
 
Q. 3

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 />
  1.the mean and median have equal values
  2.the mean is higher in value than the median
  3.the median is higher in value than the mean
  4.impossible to determine without the actual data values"

Q. 4

The histogram of the age of the US population is best described as:
 
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lkjhg13579lkjhg13579
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PRiiNNCE Author
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6 years ago
Thanks for your help!!
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Yesterday
Smart ... Thanks!
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2 hours ago
Good timing, thanks!
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