Hypothesis Testing

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Hypothesis testing is a statistical method used to determine whether there is enough evidence in a sample of data to infer that a certain condition is true for the entire population. It is used to mak…

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A hypothesis is a testable, educated guess or a tentative explanation for a phenomenon. It serves as the starting point for further investigation and should be clear, specific, and possible to support…

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Hypothesis testing compares two opposite claims about a population. One statement assumes no effect or no difference, and the other claims that a real effect or difference exists. This makes it possib…

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The null hypothesis (H₀) is the default assumption. It usually states that there is no effect, no relationship, or no difference between variables. It represents the status quo and is the statement th…

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The alternative hypothesis is the claim being tested for. It is the opposite of the null hypothesis and states that there is a significant effect, relationship, or difference between variables.

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Null hypothesis: The mean number of daily visits (μ) = 50. Alternative hypothesis: The mean number of daily visits (μ) ≠ 50. The null assumes no change from 50, while the alternative claims a differen…

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PixelPlay is a mobile gaming company example with a historical average app time of 45 minutes per day. The null hypothesis says the new update had no beneficial effect, so average daily time stays the…

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A Type I error is a false positive, denoted by α (alpha). It happens when a true null hypothesis is rejected. In simple terms, it means concluding that an effect exists when it actually does not.