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New Topic  
newbuddy newbuddy
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Posts: 356
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6 years ago
The population parameter value and the point estimate differ because a sample is not a census of the entire population, but it is being used to develop the
 
 
Q. 2

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 width=502 height=169 />
 
   
  a.
  population parameter.
   
  b.
  point estimate.
   
  c.
  population mean.
   
  d.
  standard error."

Q. 3

James has two fair coins. When he flips them, what is the sample space?

Q. 4

Consider a random experiment of rolling 2 dice. The sample space for rolling two dice is shown. Let S be the set of all ordered pairs listed in the figure. What are the possible outcomes for the event of rolling a 7?

Q. 5

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 width=315 height=228 />

(6

Q. 6

A nickel and a dime are tossed. We are interested only in the event that includes at least one head appears on a single toss of both coins. What are the possible outcomes?
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Answer verified by a subject expert
ctucker2763ctucker2763
wrote...
6 years ago
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newbuddy Author
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