GitHub topics: ftest
shwetapardhi/Assignment-03-Q2--Hypothesis-Testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
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rakibhhridoy/ExploratoryDataAnalysis-Python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
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vaitybharati/P20.-Hypothesis-Testing-Anova-Test---Iris-Flower-dataset
Hypothesis Testing Anova Test - Iris Flower dataset. Anova ftest statistics: Analysis of varaince between more than 2 samples or columns. Assume Null Hypothesis Ho as No Varaince: All samples population means are same. Thus Alternate Hypothesis Ha as It has Variance: Atleast one population mean is different. As (p_value = 0) < (α = 0.05); Reject Null Hypothesis i.e. Atleast one population mean is different Thus there is variance in more than 2 samples.
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vaitybharati/Assignment-03-Q2-Hypothesis-Testing-
Anova ftest statistics. A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.
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PatilSukanya/Assignment-3-Hypothesis-Testing
Used libraries and functions as follows:
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jhagelback/ez_statistics
Easy statistical testing on the web
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mrchocha/CSE523-Machine-Learning-Fantastic-4
Extracting features from the tweets and the financial data and correlating them and inferring fruitful conclusions about the future prices.
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julzerinos/r-structural-breaks-with-ml
Detecting structural breaks in time series data using statistical analysis and regression models in R.
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