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  • Exam Code: 2 )/1,200
    6.608. The standard deviation then equals sqrt(6.608) = 2.57
    Note: You should be careful about the difference between population variance and sample variance. The formula for sample variance is:
    sample variance*(N-1) = (sum of squares) - N*(mean
  • Exam Name: 2)
    You can expect an exam question which asks for population variance, with the choices given containing both the population and the sample variances or vice versa.

  • Version: V12.35
  • Q & A: 70 Questions and Answers
2 )/1,200
6.608. The standard deviation then equals sqrt(6.608) = 2.57
Note: You should be careful about the difference between population variance and sample variance. The formula for sample variance is:
sample variance*(N-1) = (sum of squares) - N*(mean Free Demo download
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6.608. The standard deviation then equals sqrt(6.608) = 2.57
Note: You should be careful about the difference between population variance and sample variance. The formula for sample variance is:
sample variance*(N-1) = (sum of squares) - N*(mean Exam Questions

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NEW QUESTION: 1
Which two statements about the Spark DataGrid are true? (Choose two.)
A. The <s:GridColumn> component requires a dataField property
B. The <s:DataGridColumn> component requires a dataField property
C. The Spark DataGrid is implemented as a skinnable wrapper around the SparkGrid
D. The <s:Scroller> component must be implemented to enable Spark DataGrid scrolling
E. The Spark DataGrid is a skinnable component that uses a Grid control as a skin part
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C. Between rate lock period and fixing date
D. At the start of fixing
Answer: B

NEW QUESTION: 3
The sum of the squares of 1,200 observations equals 9,830. The sum of the observations equals 1,510.
The population standard deviation of the observations equals ________.
A. 4.22
B. 5.31
C. 6.61
D. 2.57
Answer: D
Explanation:
Explanation/Reference:
Explanation:
For N observations, it is easy to show that
population variance*N = (sum of squares) - N*(mean

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    2)
    The mean equals 1,510/1,200 = 1.258. Hence, population variance = (9,830 - 1,200*1.258

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