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WorksheetFunction.Confidence_Norm Method (Excel)

Returns a value that you can use to construct a confidence interval for a population mean.

Version Added: Excel 2010

expression .Confidence_Norm(Arg1, Arg2, Arg3)

expression A variable that represents a WorksheetFunction object.

Parameters

Name

Required/Optional

Data Type

Description

Arg1

Required

Double

The significance level used to compute the confidence level. The confidence level equals 100*(1 - alpha)%, or in other words, an alpha of 0.05 indicates a 95 percent confidence level.

Arg2

Required

Double

The population standard deviation for the data range and is assumed to be known.

Arg3

Required

Double

The sample size.

Return Value

Double

The confidence interval is a range of values. Your sample mean, x , is at the center of this range and the range is x ± Confidence_Norm. For example, if x is the sample mean of delivery times for products ordered through the mail, x ± Confidence_Norm is a range of population means. For any population mean, μ 0 , in this range, the probability of obtaining a sample mean further from μ 0 than x is greater than alpha; for any population mean, μ 0 , not in this range, the probability of obtaining a sample mean further from μ 0 than x is less than alpha. In other words, assume that x , standard_dev, and size is used to construct a two-tailed test at significance level alpha of the hypothesis that the population mean is μ 0 . Then we will not reject that hypothesis if μ 0 is in the confidence interval and will reject that hypothesis if μ 0 is not in the confidence interval. The confidence interval does not allow inference that there is probability 1 – alpha that the next package will take a delivery time that is in the confidence interval:

  • If any argument is nonnumeric, Confidence_Norm generates an error.

  • If alpha ≤ 0 or alpha ≥ 1, Confidence_Norm generates an error.

  • If standard_dev ≤ 0, Confidence_Norm generates an error.

  • If size is not an integer, it is truncated.

  • If size < 1, Confidence_Norm generates an error.

  • If it is assumed that alpha equals 0.05, calculate the area under the standard normal curve that equals (1 - alpha), or 95 percent. This value is ± 1.96. The confidence interval is therefore: Ff837401.awfcnfd1_ZA06051124(en-us,office.14).gif

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