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A Sneak Peek into Null Hypothesis and Alternative Hypothesis
Null Hypothesis and Alternate Hypothesis are the two sides of the same coin. And it consists of supplementary concepts. They form the basis of inferential statistics. In statistical data, null hypothesis, refers to the concept of drawing general statement or default position that concludes that there is no relation between two calculated phenomena. Alternative hypothesis is the pole opposite term of Null Hypothesis. They find various applications in statistical hypothesis. They are used for making comparisons based on predictive and explanatory power. For doing the numerous coursework given under this subject, one must strictly abide by the following rules:
- Data collection.
- Descriptive examination of the data.
- Correlation Regression analysis.
- Statistical inferences.
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