Manuals/calci/CONFIDENCE

CONFIDENCE (Alpha,StandardDeviation,Size)

• is alpha value which is indicating the significance level.
• is the value of the standard deviation.
• is the size of the sample.
• CONFIDENCE(), returns the confidence interval for a population mean.

Description

• This function gives value of the confidence intervals.
• Confidence intervals are calculated based on the standard error of a measurement.
• It is measures the probability that a population parameter will fall between lower bound and upper bound of the values.
• There are four steps to constructing a confidence interval.
1. Identify a sample statistic.
2. Select a confidence level.
3. Find the margin of error.
4. Specify the confidence interval.
• Normally once standard error value is calculated, the confidence interval is determined by multiplying the standard error by a constant that reflects the level of significance desired, based on the normal distribution.
• In , is the alpha value which is indicating the significance level used to find the value of the confidence level.
• It equals , or alpha of 0.05 indicates a 95 percent confidence level.
• This value is 1.96
• is the standard deviation of the population for the data range.
• is the size of the sample.
• Confidence interval is calculated using the following formula: .
• So • where is the sample mean,sigma is the standard deviation.
• This function will give the result as error when
1. Any one of the argument is nonnumeric.
2.Suppose 3. value of s is less than 1.
• Suppose with the population of 10 for the standard deviation 3.2, with the alpha value 0.2 then, CONFIDENCE(0.2,3.2,10) =1.296839.
• So the Confidence interval value is .

ZOS

• The syntax is to calculate CONFIDENCE in ZOS is .
• is value of the significance level.
• is the size of the sample.
• For e.g., CONFIDENCE(0.2,3.1,20)
• CONFIDENCE(0.67,8.3..10.3,51)

Examples

1. =CONFIDENCE(0.6,4.6,20) = 0.539393789
2. =CONFIDENCE(0.09,8.1,25) = 2.746544290
3. =CONFIDENCE(0.001,18.8,50) = 8.74859415

CONFIDENCE