Write a function in Python to perform a two sample t-test. The t-test should be unpaired and you may assume that the samples have equal variance. The function should have: specify a choice of alternative hypotheses by giving arguments “two-sided”, “less”, or “greater”. If no such alternative is given, then the default should be “two-sided” specify a parameter mu indicating the true difference in means under the null hypothesis. If unspecified, the default should be mu=0. result should be a dict with the labeled values of the t-statistic and the p-value function should be my_ttest(x,y,mu,alternative), where x and y are the two samples being compared. use the function scipy.stats.t.cdf to calculate p-values generate random samples for testing using npr.normal
Write a function in Python to perform a two sample t-test. The t-test should be unpaired and you may assume that the samples have equal variance. The function should have: specify a choice of alternative hypotheses by giving arguments “two-sided”, “less”, or “greater”. If no such alternative is given, then the default should be “two-sided” specify a parameter mu indicating the true difference in means under the null hypothesis. If unspecified, the default should be mu=0. result should be a dict with the labeled values of the t-statistic and the p-value function should be my_ttest(x,y,mu,alternative), where x and y are the two samples being compared. use the function scipy.stats.t.cdf to calculate p-values generate random samples for testing using npr.normal
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 in Python to perform a two sample t-test. The t-test should be unpaired and you may assume that the samples have equal variance. The function should have:
- specify a choice of alternative hypotheses by giving arguments “two-sided”, “less”, or “greater”. If no such alternative is given, then the default should be “two-sided”
- specify a parameter mu indicating the true difference in means under the null hypothesis. If unspecified, the default should be mu=0.
- result should be a dict with the labeled values of the t-statistic and the p-value
- function should be my_ttest(x,y,mu,alternative), where x and y are the two samples being compared.
- use the function scipy.stats.t.cdf to calculate p-values
- generate random samples for testing using npr.normal
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