scipystatsnormppf0975

scipystatsnormppf0975 refers to a specific value obtained from the percent point function (PPF) of the normal distribution, as implemented in the SciPy library's statistics module. The percent point function is the inverse of the cumulative distribution function (CDF). In simpler terms, it takes a probability (a value between 0 and 1) and returns the corresponding value on the x-axis of the distribution.

The value 0.975 indicates a probability of 97.5%. Therefore, scipystatsnormppf0975 represents the value such that 97.5% of the area under the standard normal distribution curve lies to the left of this value. This is a common value used in statistical inference, particularly when constructing two-tailed confidence intervals. For a standard normal distribution (mean = 0, standard deviation = 1), the PPF of 0.975 is approximately 1.96. This means that approximately 97.5% of the data in a standard normal distribution falls below 1.96. Conversely, the value corresponding to a PPF of 0.025 (2.5%) is approximately -1.96. The range between -1.96 and 1.96 encompasses the central 95% of the standard normal distribution.