Listed below are the top 10 annual salaries​ (in millions of​ dollars) of TV personalities. Find the​ range, variance, and standard deviation for the sample data. Given that these are the top 10​ salaries, do we know anything about the variation of salaries of TV personalities in​ general?   3939      3737      3535      2727      1616      1515      1212      1111      10.710.7      9.39.3    The range of the sample data is ​$nothing million. ​(Type an integer or a​ decimal.) The variance of the sample data is nothing. ​(Round to two decimal places as​ needed.) The standard deviation of the sample data is ​$nothing million. ​(Round to two decimal places as​ needed.) Is the standard deviation of the sample a good estimate of the variation of salaries of TV personalities in​ general?     A. ​No, because there is an outlier in the sample data.   B. ​No, because the sample is not representative of the whole population.   C. ​Yes, because the standard deviation is an unbiased estimator.   D. ​Yes, because the sample is random.

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Listed below are the top 10 annual salaries​ (in millions of​ dollars) of TV personalities. Find the​ range, variance, and standard deviation for the sample data. Given that these are the top 10​ salaries, do we know anything about the variation of salaries of TV personalities in​ general?
 
3939     
3737     
3535     
2727     
1616     
1515     
1212     
1111     
10.710.7     
9.39.3
  
The range of the sample data is
​$nothing
million. ​(Type an integer or a​ decimal.)
The variance of the sample data is
nothing.
​(Round to two decimal places as​ needed.)
The standard deviation of the sample data is
​$nothing
million.
​(Round to two decimal places as​ needed.)
Is the standard deviation of the sample a good estimate of the variation of salaries of TV personalities in​ general?
 
 
A.
​No, because there is an outlier in the sample data.
 
B.
​No, because the sample is not representative of the whole population.
 
C.
​Yes, because the standard deviation is an unbiased estimator.
 
D.
​Yes, because the sample is random.
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