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GitHub topics: one-sample-t-test

lmizner/codecademy_farmburg_AB_testing

Language: Python - Size: 34.2 KB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

lmizner/codecademy_fetchmaker

Language: Python - Size: 3.91 KB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

lmizner/codecademy_heart_disease

Language: HTML - Size: 32.2 KB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

NikhilaThota/Comparing_group_means

Compare the means of two groups (male & female) body temparatures

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

vaitybharati/P17.-Hypothesis-Testing-1-Sample-1-Tail-Test-Salmonella-Outbreak-

Hypothesis-Testing-1-Sample-1-Tail-Test-Salmonella-Outbreak. 1-sample 1-tail ttest. Assume Null Hypothesis Ho as Mean Salmonella <= 0.3. Thus Alternate Hypothesis Ha as Mean Salmonella > 0.3. As No direct code for 1-sample 1-tail ttest available with unknown SD and arrays of means. Hence we find probability using 1-sample 2-tail ttest and divide it by 2 to get 1-tail ttest.

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vaitybharati/P16.-Hypothesis-Testing-1S2T---Call-Center-Process

Hypothesis Testing 1S2T - Call Center Process. Sample Parameters: n=50, df=50-1=49, Mean1=4, SD1=3 1-sample 2-tail ttest Assume Null Hypothesis Ho as Mean1 = 4 Thus, Alternate Hypothesis Ha as Mean1 ≠ 4

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vaitybharati/P15.-Hypothesis-Testing-1S1T---Super-Market-Loyality-Program

Hypothesis-Testing 1S1T-Super-Market-Loyality-Program. Population Parameters: Mean=120 Sample Parameters: n=80, Mean=130, SD=40, df=80-1=79

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ankitraj1602/FundamentalOfDataAnalysisEdX

R Projects relevant to two part Data Analysis Course. Link to Part 1 and 2 : https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.20x+1T2016/e40867c6134a4731a492e1ab9c5027b3/

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MoinDalvs/Learn_hypothesis_testing_for_Data_science

Hypothesis for Data Science

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NataliaVelasquez18/Car_Data_Statistical_Analysis

The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.

Language: R - Size: 412 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0