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GitHub topics: one-sample-t-test
NikhilaThota/Comparing_group_means
Compare the means of two groups (male & female) body temparatures
Language: Jupyter Notebook - Size: 19.5 KB - Last synced: 7 months ago - Pushed: over 6 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.
Language: Jupyter Notebook - Size: 78.1 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
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
Language: Jupyter Notebook - Size: 196 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
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
Language: Jupyter Notebook - Size: 51.8 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
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/
Size: 1.03 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
MoinDalvs/Learn_hypothesis_testing_for_Data_science
Hypothesis for Data Science
Language: Jupyter Notebook - Size: 1 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
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: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0
