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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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Note: You should be careful about the difference between population variance and sample variance. The formula for sample variance is:
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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
Answer: C,E

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In a time deposit, when does the grace period take effect (Select one answer)
A. At the start of the maturity phase
B. At renewal date
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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