# Statistics For Data Science with Python — Confidence  & Hypothesis (8/10)

confidence interval and hypothesis testing

### Confidence Interval

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174357396/SAesrMfBr.gif)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174359302/aJOXMoTkY.gif)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174362716/mZQRSMj2j.jpeg)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174364245/znJV0rPsPd.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174365581/_wGaWQLBpd.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174366975/EmiV0IGom3.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174368300/w1eqW-3GY0.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174369735/3MvIVXVGT.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174371530/kePXzuDi9.png)

### Hipothesis Tests

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174375491/kIvDV4cix.gif)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174377216/PbRBg4puq.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174378894/ZQjleLNPe.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174380572/L9fz0zjMW.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174382433/DQ37is8jy.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174384105/CFtEc6Mk9.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174385754/mAebhnf6z.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174387530/agg1NFMBR.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174389580/vLO6fbhv5.png)

### Tests Parametric & Non-Parametric

**Test Parametric**

*   Normal Distribution

Test Non-Parametric

*   Non Normal Distribution

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174391313/VQ0atJhOI.jpeg)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174393046/ninDWyrOH.png)

### Python Notebook

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174394636/UGKzcuWnb.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174396211/QWRY7yXmvd.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174398081/n-8tassJo.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174399621/FwlI0wnMa.png)

### SciPy Implementation

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174401247/_t9hsogbIe.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174402908/C06XzKX9h.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174404541/eaCQIndEb.png)

### Distributions

*   Z Distribution (Normal Distribution > 30 Registers)
*   t-Distribution (T Student = 30 Registers)
*   t-Distribution (T Student < 30 Registers)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174407672/F1Cl21d-g.png)

### Degrees of Freedom

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174409547/ABFxI0J23.png)

### Chi-Square Distribution

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174411356/YeWMYs7iE.jpeg)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174413610/1MigH3KV1.gif)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174415504/bGjggXGojz.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174417602/Rr42onErh.png)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174419090/p9Aa_kfpo.jpeg)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1662174420415/xaYfGMFqU.jpeg)