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, 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 dumps, Sugakumaster 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, 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, C-TS462-2023 certification">
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  • 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:
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    2 )/1,200<br/>6.608. The standard deviation then equals sqrt(6.608) = 2.57<br/>Note: You should be careful about the difference between population variance and sample variance. The formula for sample variance is:<br/>sample variance*(N-1) = (sum of squares) - N*(mean

    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.

    NEW QUESTION: 4
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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:
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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:
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    D. The LUN does not use any space from the volume since it is thin provisioned.
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    NEW QUESTION: 2

    A. bootcfg.exe
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    C. bcdedit.exe
    D. bootim.exe
    E. Add-WindowsImage
    F. bootsect.exe
    G. diskpart.exe
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    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. 5.31
    B. 2.57
    C. 6.61
    D. 4.22
    Answer: B
    Explanation:
    Explanation/Reference:
    Explanation:
    For N observations, it is easy to show that
    population variance*N = (sum of squares) - N*(mean

    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 Related Exams
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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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    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 Review:
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