rite a function that calculates the mean, median, variance, standard deviation, minimum and maximum of of list of items. You can assume the given list is contains only numerical entries, and you may use numpy functions to do this. Function Specifications: Function should allow a list as input. It should return a dict with keys 'mean', 'median', 'std', 'var', 'min', and 'max', corresponding to the mean, median, standard deviation, variance, minimum and maximum of the input list, respectively. The standard deviation and variance values must be unbiased. Hint: use the ddof parameter in the corresponding numpy functions! All values in the returned dict should be rounded to 2 decim
rite a function that calculates the mean, median, variance, standard deviation, minimum and maximum of of list of items. You can assume the given list is contains only numerical entries, and you may use numpy functions to do this. Function Specifications: Function should allow a list as input. It should return a dict with keys 'mean', 'median', 'std', 'var', 'min', and 'max', corresponding to the mean, median, standard deviation, variance, minimum and maximum of the input list, respectively. The standard deviation and variance values must be unbiased. Hint: use the ddof parameter in the corresponding numpy functions! All values in the returned dict should be rounded to 2 decim
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Write a function that calculates the mean, median, variance, standard deviation, minimum and maximum of of list of items. You can assume the given list is contains only numerical entries, and you may use numpy functions to do this.
Function Specifications:
- Function should allow a list as input.
- It should return a dict with keys 'mean', 'median', 'std', 'var', 'min', and 'max', corresponding to the mean, median, standard deviation, variance, minimum and maximum of the input list, respectively.
- The standard deviation and variance values must be unbiased. Hint: use the ddof parameter in the corresponding numpy functions!
- All values in the returned dict should be rounded to 2 decimal places.
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