Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: degrees-of-freedom

vaitybharati/P19.-Hypothesis-Testing-2-Proportion-T-test-Students-Jobs-in-2-States-

Hypothesis-Testing-2-Proportion-T-test-Students-Jobs-in-2-States. Assume Null Hypothesis as Ho is p1-p2 = 0 i.e. p1 ≠ p2. Thus Alternate Hypthesis as Ha is p1 = p2. Explanation of bernoulli Binomial RV: np.random.binomial(n=1,p,size) Suppose you perform an experiment with two possible outcomes: either success or failure. Success happens with probability p, while failure happens with probability 1-p. A random variable that takes value 1 in case of success and 0 in case of failure is called a Bernoulli random variable. Here, n = 1, Because you need to check whether it is success or failure one time (Placement or not-placement) (1 trial) p = probability of success size = number of times you will check this (Ex: for 247 students each one time = 247) Explanation of Binomial RV: np.random.binomial(n=1,p,size) (Incase of not a Bernoulli RV, n = number of trials) For egs: check how many times you will get six if you roll a dice 10 times n=10, P=1/6 and size = repetition of experiment 'dice rolled 10 times', say repeated 18 times, then size=18. As (p_value=0.7255) > (α = 0.05); Accept Null Hypothesis i.e. p1 ≠ p2 There is significant differnce in population proportions of state1 and state2 who report that they have been placed immediately after education.

Language: Jupyter Notebook - Size: 176 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

lukem512/anova

Analysis of Variance (ANOVA)

Language: JavaScript - Size: 5.86 KB - Last synced: 16 days ago - Pushed: almost 7 years ago - Stars: 11 - Forks: 2

Duke02/PoseNet

Pose estimator project from previous internship.

Language: Jupyter Notebook - Size: 127 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

hdarjus/student-t-asis-paper

Code for reproducing the results in arXiv:2109.01726

Language: R - Size: 50.8 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

cmu05391-gsilvera/4DOFBakeoff

Open design challenge for optimizing accuracy and speed of a user changing 4 degrees of freedom (size, rotation, x, y) to a target. Teammates: Matt Buchman, Vivian Nguyen, Gustavo Silvera

Language: Processing - Size: 53.7 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Related Keywords
degrees-of-freedom 5 python 2 statistics 1 sum-of-squares 1 variance 1 convolutional-neural-network 1 docker 1 jupyter-notebook 1 neural-network 1 posenet 1 pytorch 1 singularity 1 bayesian-statistics 1 effective-sample-size 1 gibbs-sampling 1 student-t 1 human-computer-interaction 1 processing 1 teammates 1 2-proportion-ttest 1 alternate-hypothesis 1 bernoulli-binomial-rv 1 hypothesis-testing 1 null-hypothesis 1 numpy 1 p-value 1 pandas 1 probability 1 proportion-test 1 significance-testing 1 statsmodels 1 t-score 1 analysis 1 anova 1 f-value 1 mean-squared 1