Explain NULL HYPOTHESIS: If your proposed model for a data set says that the value of x is affecting the value of y, then the null hypothesis—the model you're comparing your proposed model with to check whether x really is affecting y—says that the observations are all based on chance and that there is no effect. “The smaller the P-value computed from the sample data, the stronger the evidence is against the null hypothesis.”[shin] See also P value.
Different definitions in web development like null hypothesis in Dictionary N.
- Manual Neural Network:
- Meaning artificial neural network to distinguish it from the brain, upon which this algorithm is modeled. “A robust function that takes an arbitrary set of inputs and fits it to an arbitrary set of outputs null hypothesis.
- Manual NoSQL:
- Meaning management system that uses any of several alternatives to the relational, table-oriented model used by SQL databases. While this term originally meant “not SQL,” it has come to mean something closer null hypothesis.
- Manual N-Gram:
- Meaning sequences of n items (typically, words in natural language) to look for patterns. For example, trigram analysis examines three-word phrases in the input to look for patterns such as which pairs of null hypothesis.
- Manual Normal Distribution:
- Meaning distribution. (Carl Friedrich Gauss was an early nineteenth-century German mathematician.) A probability distribution which, when graphed, is a symmetrical bell curve with the mean value at the null hypothesis.
- Manual Naive Bayes Classifier:
- Meaning classification algorithms based on Bayes Theorem. It is not a single algorithm but a family of algorithms that all share a common principle, that every feature being classified is independent of the null hypothesis.