If you look at the source code for, you'll find that the ppf method ultimately calls. You can use a different mean and standard deviation by specifying the loc and scale arguments, respectively. In : from scipy.stats import normĬheck that it is the inverse of the CDF: In : norm.cdf(norm.ppf(0.95))īy default, norm.ppf uses mean=0 and stddev=1, which is the "standard" normal distribution. The acronym ppf stands for percent point function, which is another name for the quantile function. Using scipy, you can compute this with the ppf method of the object. While computing on successive inputs is beyond the scope of Wolfram|Alpha, Wolfram|Alpha Notebook Edition lets you reference previous inputs to build a complete content stream.NORMSINV (mentioned in a comment) is the inverse of the CDF of the standard normal distribution. When creating a new cell, you can click the icon on the left for a selection of cell styles: Building Up Computations Wolfram|Alpha Notebook Edition is the perfect tool to create a full assignment workflow. You can also set your computations to use real numbers only (as opposed to complex numbers) by default: Creating a Homework Flow Cell and Notebook Styles You can also choose to hide query details or Wolfram Language inputs for a cleaner workspace: Use Real Numbers Only Click the button in the top-right corner for convenient input of special characters: Output TypeĬlicking the icon provides options to customize your notebook content, such as switching default output styles between TraditionalForm (classic textbook/journal typesetting) and StandardForm (standard Wolfram Language formatting): Show/Hide Notebook Content The orange toolbar at the top of each notebook contains some additional options for customizing input and output. It also provides control over input assumptions via the menu: Step-by-Step SolutionsĬlick the button to show the solution steps for a given problem: Full ResultsĬlicking the button gives the full collection of pods returned by Wolfram|Alpha: Output SuggestionsĪs in standard Mathematica notebooks, the Suggestions Bar provides additional suggestions based on the most recent output: Wolfram|Alpha Notebook Edition Toolbar Special Characters The new Input Suggestions Bar provides quick access to a number of computations related to your input via the menu: Alternate Interpretations Wolfram|Alpha Notebook Edition expands the scope of the Wolfram Predictive Interface. To explore an area of interest in depth, you can easily query for examples: Wolfram Language SyntaxĪs a hybrid between Mathematica and Wolfram|Alpha, Wolfram|Alpha Notebook Edition also supports parsing of proper Wolfram Language syntax: Wolfram Predictive Interface Related Computations Inputs by holding SHIFT while pressing ENTER ( RET). Unlike at Wolfram|Alpha, the natural language input cell supports multiline You can add details and assumptions to your query, such as telling the system to use real numbers only: Just like on Wolfram|Alpha, you can write your input in conversational English: You can evaluate input by pressing ENTER ( RET) within the cell, or by clicking the button: Standard Usage Start typing in a blank notebook to generate a new input cell:
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