Statistical Inference

Assumption: Assume that df is a DataFrame, ser is a Series, arr is an array, and we already run import babypandas as bpd and import numpy as np.

---

This section provides explanations and code implementations of theories covered in DSC 10. For examples in this section, refer to the full_pets DataFrame, which has more data than pets DataFrame (which is used in the Documentation section).

full_pets

Index	ID	Species	Color	Weight	Age	Is_Cat	Owner_Comment
0	dog_001	dog	black	40	5	False	There are no bad dogs, only bad owners.
1	cat_001	cat	golden	1.5	0.2	True	My best birthday present ever!!!
2	cat_002	cat	black	15	9	True	****All you need is love and a cat.****
3	dog_002	dog	white	80	2	False	Love is a wet nose and a wagging tail.
4	dog_003	dog	black	25	0.5	False	Be the person your dog thinks you are.
5	ham_001	hamster	black	1	3	False	No, thank you!
6	ham_002	hamster	golden	0.25	0.2	False	No, thank you!
7	cat_003	cat	black	10	0	True	No, thank you!
8	dog_004	dog	black	45	6.7	False	No, thank you!
9	dog_005	dog	white	10	7	False	No, thank you!
10	dog_006	dog	golden	35	4	False	No, thank you!
11	cat_004	cat	black	10	1.2	True	No, thank you!
12	cat_005	cat	white	15	2.5	True	No, thank you!
13	ham_003	hamster	black	0.5	0.1	False	No, thank you!
14	dog_007	dog	white	50	6.1	False	No, thank you!
15	ham_004	hamster	golden	0.25	0.2	False	No, thank you!
16	dog_008	dog	black	40	5	False	No, thank you!
17	dog_009	dog	white	30	4.8	False	No, thank you!
18	cat_006	cat	black	3	0.5	True	No, thank you!

Download this data