
Confidence Intervals
7-10 Confidence Intervals
A confidence interval is a range of values that has a specified probability of containing the parameter being estimated.
A confidence interval that is too broad makes it difficult to get an idea of where the parameter (actual value) is located. A narrow confidence interval, on the other hand, limits the parameter range and makes it possible to obtain highly accurate results.
The commonly used confidence levels are 68%, 95% and 99%. Raising the confidence level broadens the confidence interval. Conversely, lowering the confidence level narrows the confidence interval, but it also creates the risk that parameters will be missed. With a confidence interval of 95%, for example, there is a 5% probability that a parameter will not be within the interval.
The following is a list of confidence intervals and a description of what each obtains.
Confidence Interval Name | Description | |
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Z Confidence Interval |
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| Calculates the confidence interval for the population mean based on | |
| a sample mean and known population standard deviation. | |
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| Calculates the confidence interval for the difference between | |
| population means based on the difference between sample means | |
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| when the population standard deviations are known. |
| Calculates the confidence interval for the population proportion | |
| based on a single sample proportion. | |
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| Calculates the confidence interval for the difference between | |
| population proportions based on the difference between two sample | |
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| proportions. |
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t Confidence Interval |
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| Calculates the confidence interval for the population mean based on | |
| a sample mean and a sample standard deviation when the | |
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| population standard deviation is not known. |
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| Calculates the confidence interval for the difference between |
| population means based on the difference between sample means | |
| and sample standard deviations when the population standard | |
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| deviations are not known. |
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kGeneral Confidence Interval Precautions
If you input a
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