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The '''Z-test''' is a [[statistical test]] used in inference which determines if the difference between a sample mean and the population mean is large enough to be statistically significant.
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The '''Z-test''' is a [[statistics|statistical test]] used in inference which determines if the difference between a sample mean and the population mean is large enough to be statistically significant.
    
The Z-test is conducted by the following steps:
 
The Z-test is conducted by the following steps:
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The Z-score is then compared to a Z-table.  The Z-table indicates whether the calculated z-score is within the realm of chance or if the z-score is so different that the sample mean is unlikely to have happened by chance.
 
The Z-score is then compared to a Z-table.  The Z-table indicates whether the calculated z-score is within the realm of chance or if the z-score is so different that the sample mean is unlikely to have happened by chance.
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[[Category:Mathematics]]
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[[Category:Statistics]]
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