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Hypothesis Testing of Population Mean
The central limit theorem assures that the sampling distribution of the mean approaches normal distribution with mean µ population mean and standard deviation α with the increase in the sample size. Using the fact we can do hypothesis testing of population mean with a hypothesis value using the sample information.
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
Small Sample The central limit theorem does not work well with small samples even if the population in non Gaussian. So we cannot rely on the central limit theorem
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The following linear programming is written to plan the production of two products. And the company wants to maximize profits. x1 = number of product 1 produced in each batch
Chi Square Test Goodness of Fit Chi square test can be used to find out how well the theoretical distribution fit with the empirical distribution of observed distribut
Description Skype is currently the most popular VoIP software in the world. Existing research has indicated that Skype can provide better voice/video quality in adverse net
Uses of Mean Deviation Mean Deviation is rarely being used as a measure of dispersion. But due to easy and simplicity in calculation. It is rather useful in busin
On the Basis of Ratio of Change Direction a. Linear Correlation: The correlation between two variables a said to be liner if corresponding to a unit change in th
discuss and explain both probability and non probability sampling techniques.
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