| 41. | It is always possible to identify in-sample mean-variance efficient portfolios within a dataset of returns.
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| 42. | Sampling means not every housing unit will be visited, raising issues of equity, reliability, variability and accuracy,
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| 43. | For any random sample from a population, the sample mean will very rarely be equal to the population mean.
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| 44. | The variance of the sample mean can then be estimated by substituting an estimate of " ? " 2.
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| 45. | The use of 16-bit amplitude sampling means quantization noise can be audible, thus the use of digital dithering.
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| 46. | In the absence of stability violation, the sample mean and the average of mathematical expectations follow to a certain number.
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| 47. | The enormous size of the sample means that even shifts of a half percentage point have statistical significance, its authors said.
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| 48. | The continuous nature of the sampling means that it is also a powerful technique for the estimation of sediment-accumulation rates.
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| 49. | The formulae are identical to the case above ( where the sample mean is actually normally distributed about the population mean ).
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| 50. | This contrasts with the situation for central moments, whose computation uses up a degree of freedom by using the sample mean.
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