{ "cells": [ { "cell_type": "markdown", "source": [ "## Sissejuhatus tõenäosusteooriasse ja statistikasse\n", "## Ülesanne\n", "\n", "Selles ülesandes kasutame diabeedipatsientide andmekogumit, mis on võetud [siit](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).\n" ], "metadata": {} }, { "cell_type": "code", "execution_count": 13, "source": [ "import pandas as pd\n", "import numpy as np\n", "\n", "df = pd.read_csv(\"../../data/diabetes.tsv\",sep='\\t')\n", "df.head()" ], "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " AGE SEX BMI BP S1 S2 S3 S4 S5 S6 Y\n", "0 59 2 32.1 101.0 157 93.2 38.0 4.0 4.8598 87 151\n", "1 48 1 21.6 87.0 183 103.2 70.0 3.0 3.8918 69 75\n", "2 72 2 30.5 93.0 156 93.6 41.0 4.0 4.6728 85 141\n", "3 24 1 25.3 84.0 198 131.4 40.0 5.0 4.8903 89 206\n", "4 50 1 23.0 101.0 192 125.4 52.0 4.0 4.2905 80 135" ], "text/html": [ "
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" ] }, "metadata": {}, "execution_count": 13 } ], "metadata": {} }, { "cell_type": "markdown", "source": [ "Selles andmestikus on veerud järgmised: \n", "* Vanus ja sugu on iseenesestmõistetavad \n", "* BMI on kehamassiindeks \n", "* BP on keskmine vererõhk \n", "* S1 kuni S6 on erinevad vereanalüüsi mõõtmised \n", "* Y on haiguse progresseerumise kvalitatiivne mõõde ühe aasta jooksul \n", "\n", "Uurime seda andmestikku tõenäosuse ja statistika meetodite abil.\n", "\n", "### Ülesanne 1: Arvuta kõigi väärtuste keskmised ja dispersioon\n" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "### Ülesanne 2: Joonista boxplotid BMI, BP ja Y jaoks sõltuvalt soost\n" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "### Ülesanne 3: Milline on vanuse, soo, KMI ja Y muutujate jaotus?\n" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "### Ülesanne 4: Testi erinevate muutujate ja haiguse progresseerumise (Y) vahelist korrelatsiooni\n", "\n", "> **Vihje** Korrelatsioonimaatriks annab kõige kasulikumat teavet selle kohta, millised väärtused on omavahel sõltuvad.\n" ], "metadata": {} }, { "cell_type": "markdown", "source": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "### Ülesanne 5: Testi hüpoteesi, et diabeedi progresseerumise aste on meeste ja naiste vahel erinev\n" ], "metadata": {} }, { "cell_type": "markdown", "source": [], "metadata": {} }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n---\n\n**Lahtiütlus**: \nSee dokument on tõlgitud AI tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palume arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Algne dokument selle algses keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitame kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti tõlgenduste eest.\n" ] } ], "metadata": { "orig_nbformat": 4, "language_info": { "name": "python", "version": "3.8.8", "mimetype": "text/x-python", "codemirror_mode": { "name": "ipython", "version": 3 }, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py" }, "kernelspec": { "name": "python3", "display_name": "Python 3.8.8 64-bit (conda)" }, "interpreter": { "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5" }, "coopTranslator": { "original_hash": "6d945fd15163f60cb473dbfe04b2d100", "translation_date": "2025-10-11T16:22:32+00:00", "source_file": "1-Introduction/04-stats-and-probability/assignment.ipynb", "language_code": "et" } }, "nbformat": 4, "nbformat_minor": 2 }