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Admissibility
A very common concept which is applicable to any procedure of the statistical inference. The underlying notion is that the procedure/method is admissible if and only if there does not exist within that particular class of the procedures another one which performs uniformly at least as well as the procedure in question and performs much better than it in at least one case. Here 'uniformly' means for all values of the parameters which decide the probability distribution of the random variables under the investigation.
Weighted Harmonic Mean Weighted Harmonic Mean is calculated with the help of the following formula: WHM Case
Find the Relation between two substance: The following table shows the results obtained in experiments aimed to determine how solubility of water in benzene depends on tempera
Question 3 25 marks Your employer, Quick Hit Agency (QHA), is a debt collections agency. The company specializes in collecting small accounts. QHA does not deal in large accounts
Define sampling unit and population for selecting a random sample in every case. a) 100 voters from a constituency b) 20 stocks of National Stock Exchange c) 50 account ho
give me question on mean is the aimplest average to understand and easy to compute
Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi
slope parameter of 1.4 and scale parameter of 550.calculate Reliability, MTTF, Variance, Design life for R of 95%
First we look at these charts assuming that we know both the mean and the standard deviation of the process, that is μ and σ . These values represent the acceptable values (bench
Under the standard cost method which is also referred as the standard cost method ,stock receipts are assigned a standard cost. Any variations between the actual cost and standard
Testing of Hypothesis One objective of sampling theory is Hypothesis Testing. Hypothesis testing begins by making an assumption about the population parameter. Then we gather
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