Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
P 値と有意差/分散分析 / P-value, Significant Difference ...
Search
Kenji Saito
PRO
January 03, 2025
Technology
0
140
P 値と有意差/分散分析 / P-value, Significant Difference and Analysis of Variance
早稲田大学大学院経営管理研究科「企業データ分析」2024 冬の第9-10回で使用したスライドです。
Kenji Saito
PRO
January 03, 2025
Tweet
Share
More Decks by Kenji Saito
See All by Kenji Saito
民主主義というアナログAI と、逃走の線の描き方 / Democracy as an Analogue AI and How to Draw the Line of Escape
ks91
PRO
0
26
アカデミーキャンプ2026 冬「ウチらとヤツらのフューチャー・デザイン」DAY3 / Acadmy Camp 2026 Winter - Future Design by Us and Them DAY3
ks91
PRO
0
60
アカデミーキャンプ2026 冬「ウチらとヤツらのフューチャー・デザイン」DAY1 / Acadmy Camp 2026 Winter - Future Design by Us and Them
ks91
PRO
0
89
アカデミーキャンプ2026 冬「ウチらとヤツらのフューチャー・デザイン」DAY2 / Acadmy Camp 2026 Winter - Future Design by Us and Them DAY2
ks91
PRO
0
77
アナログAI からの逃走とメタ・ネイチャーポジティブ / Escape from Analog AI, and Meta-Nature Positive
ks91
PRO
0
42
AI 前提社会におけるトラスト / Trust in an AI-Driven Society
ks91
PRO
0
66
非営利組織の起業/発表と総括 / Starting up a Nonprofit Organization, Presentation and Summary
ks91
PRO
0
71
自己開発 / Self-Development
ks91
PRO
1
37
あなたは何によって憶えられたいですか? / What Do You Want to be Remembered for?
ks91
PRO
0
43
Other Decks in Technology
See All in Technology
フロントエンド刷新 4年間の軌跡
yotahada3
0
410
マルチアカウント環境でSecurity Hubの運用!導入の苦労とポイント / JAWS DAYS 2026
genda
0
710
OCI Security サービス 概要
oracle4engineer
PRO
2
13k
Lambda Web AdapterでLambdaをWEBフレームワーク利用する
sahou909
0
130
身体を持ったパーソナルAIエージェントの 可能性を探る開発
yokomachi
1
120
JAWS DAYS 2026 楽しく学ぼう!ストレージ 入門
yoshiki0705
2
190
AI時代の「本当の」ハイブリッドクラウド — エージェントが実現した、あの頃の夢
ebibibi
0
120
Cortex Code CLI と一緒に進めるAgentic Data Engineering
__allllllllez__
0
310
It’s “Time” to use Temporal
sajikix
1
160
情シスのための生成AI実践ガイド2026 / Generative AI Practical Guide for Business Technology 2026
glidenote
0
260
楽しく学ぼう!コミュニティ入門 AWSと人が つむいできたストーリー
hiroramos4
PRO
1
200
Scrumは歪む — 組織設計の原理原則
dashi
0
180
Featured
See All Featured
Practical Orchestrator
shlominoach
191
11k
Rails Girls Zürich Keynote
gr2m
96
14k
Why You Should Never Use an ORM
jnunemaker
PRO
61
9.8k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.1k
Skip the Path - Find Your Career Trail
mkilby
1
80
Become a Pro
speakerdeck
PRO
31
5.8k
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
110
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.7k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
3.7k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.9k
More Than Pixels: Becoming A User Experience Designer
marktimemedia
3
350
Transcript
Corporate data analysis — generated by Stable Diffusion XL v1.0
2024 9-10 P (WBS) 2024 9-10 P — 2025-01-06 – p.1/33
https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 9-10 P — 2025-01-06 – p.2/33
( ) 1 12 2 • 2 12 2 (B
A ) • 3 12 9 • 4 12 9 • 5 12 16 • 6 12 16 t • 7 12 23 2 ( ) t • 8 12 23 2 ( ) t • 9 1 6 P • 10 1 6 • 11 1 20 12 1 20 13 1 27 14 1 27 W-IOI 2024 9-10 P — 2025-01-06 – p.3/33
( 20 25 ) 1 (20 ) • 2 R
( 55 ) • 3 (32 ) • 4 (14 ) • 5 ( Git) (22 ) • 6 ( ) (24 ) • 7 (1) (25 ) • 8 (2) (25 ) • 9 R ( ) (1) — Welch (17 ) • 10 R ( ) (2) — (21 ) • 11 R ( ) (1) — (15 ) • 12 R ( ) (2) — (19 ) • 13 GPT-4 (19 ) • 14 GPT-4 (29 ) • 15 ( ) LaTeX Overleaf (40 ) • 8 (12/16 ) / (2 ) OK / 2024 9-10 P — 2025-01-06 – p.4/33
( Student µ 95% ) 7 2 t ( t
) 2 ( ) 2 d ( ) ← [ 3] σd 2 t 8 2 t ( t ) 2 ( ) ( ) ← [ 4] σ 2 t 2024 9-10 P — 2025-01-06 – p.5/33
2 2 t 1 9 P P 10 H0 HA
k, N, ¯ ¯ x σ2 ( )MSwithin ( )MSbetween MStotal F F 2024 9-10 P — 2025-01-06 – p.6/33
2024 9-10 P — 2025-01-06 – p.7/33
4. t (1) 2 t (2) 2 t (3) 2025
1 2 ( ) 23:59 JST ( ) Waseda Moodle (Q & A ) (1)(2) Discord 2024 9-10 P — 2025-01-06 – p.8/33
. . . . . . 17 14 (1/3( )
) ( ) → 14 ( ) ( ) → 6 → 3 ( ) → 5 ( ) ( OK) 2 t . . . . . . / . . . ( ) 2024 9-10 P — 2025-01-06 – p.9/33
t t ⇒ ( ) A A xA 2 B
B xB 2 df . . . ⇒ t σ z0.05 . . . ⇒ ( ) t 2024 9-10 P — 2025-01-06 – p.10/33
N (1/2) 2 t 2 2 “ ” 1. 1
2 2. 3. - 2 (n − 1) 4. ÷ ÷ t 5. t (n − 1) t t ⇒ . . . 0 ( ) 2024 9-10 P — 2025-01-06 – p.11/33
N (2/2) 2 t 2 2 1 2 1 2
2 “ ” 1. 2 1 2 2. 3. ( -2) 4. t 1÷ 2 t 5. t (n1 + n2 − 2) t t ⇒ 2024 9-10 P — 2025-01-06 – p.12/33
M ( ) [ 2 t ] 1Day 1Day 1Day
⇒ 2024 9-10 P — 2025-01-06 – p.13/33
K ⇒ . . . 2024 9-10 P — 2025-01-06
– p.14/33
2 t d : µd 0 ( 2 ) :
(1) d d, sd , n, df (2) |d| sd n |t| (3) t0.05 (df) < |t| ( ) R > t.test(sample2, sample1, paired=T) 2024 9-10 P — 2025-01-06 – p.15/33
2 t ( ) 10 ( ) ( ) (
) ( ) ( ) d ( ) d, ( ) sd , ( ) n, ( ) df ( ) t ( ) t ( ) d ( ) sd ( ) n ( ) t df 5% ( ) ( ) ( ) ( ) ( ) 2024 9-10 P — 2025-01-06 – p.16/33
2 t xA xB : µA − µB 0 (
2 ) : (1) xA − xB , sp , nA nB , df (2) |xA − xB | sp nA nB |t| (3) t0.05 (df) < |t| ( ) R > t.test(sample2, sample1, var.equal=T) 2024 9-10 P — 2025-01-06 – p.17/33
2 t ( ) ( ) ( ) ( )
( ) ( ) ( ( ) A B ( ) ) ( ) xA − xB , A B ( ) ( ) sp , ( ) nA nB , ( ) df = nA + nB − 2 ( ) t ( ) t ( ) xA − xB ( ) sp ( ) nA ,nB ( ) t df 5% ( ) ( ) ( ) ( ) ( ) ( ) 2024 9-10 P — 2025-01-06 – p.18/33
K 2 t ( ) ⇒ 2 2024 9-10 P
— 2025-01-06 – p.19/33
N ⇒ (σ) ( σ √n ) ( ) p.121
(standard error) (p.121) (sampling distribution) (p.120) (p.120) ( : ) 2024 9-10 P — 2025-01-06 – p.20/33
K ⇒ . . . AI ( ) . .
. ^^; ( ) 2024 9-10 P — 2025-01-06 – p.21/33
H t 2 Student t t 1 sin(α + β)
= sinαcosβ + cosαsinβ . . . ⇒ 2024 9-10 P — 2025-01-06 – p.22/33
U R ChatGPT ⇒ AI ( ) 2024 9-10 P
— 2025-01-06 – p.23/33
9 P P 2024 9-10 P — 2025-01-06 – p.24/33
α β P P H0 ( ) P 0.05 (P
= 0.015) (P = 0.361) 2024 9-10 P — 2025-01-06 – p.25/33
10 H0 HA k, N, ¯ ¯ x σ2 (
) MSwithin ( )MSbetween MStotal ( SStotal dftotal ) F F 2024 9-10 P — 2025-01-06 – p.26/33
(1/3) k (1) : (2) : σ2 ( ) N(µ,
σ2) µ1 = µ2 = · · · = µk N ( ) ¯ ¯ x ¯ ¯ x = k j=1 nj i=1 xji N (j i N ) 2024 9-10 P — 2025-01-06 – p.27/33
(2/3) ( )MSwithin σ2 MSwithin = SSwithin dfwithin = k
j=1 nj i=1 (xji − ¯ xj )2 N − k ( N− ) ( )MSbetween σ2 MSbetween = SSbetween dfbetween = k j=1 nj (¯ xj − ¯ ¯ x)2 k − 1 ( −1 ) ( H0 σ2 ) 2024 9-10 P — 2025-01-06 – p.28/33
(3/3) MStotal MStotal = SStotal dftotal = k j=1 nj
i=1 (xji − ¯ ¯ x)2 N − 1 ( N − 1 ) : SStotal = SSbetween + SSwithin, dftotal = dfbetween + dfwithin F F = MSbetween MSwithin F0.05 (dfbetween, dfwithin ) < F ( H0 ) 2024 9-10 P — 2025-01-06 – p.29/33
U ( p.227) 20 4 “ U.R” ( anova() )
pp.226–227 2024 9-10 P — 2025-01-06 – p.30/33
2024 9-10 P — 2025-01-06 – p.31/33
5. (1) ( ) (2) 2025 1 16 ( )
23:59 JST ( ) Waseda Moodle (Q & A ) (1)(2) Discord 2024 9-10 P — 2025-01-06 – p.32/33
2024 9-10 P — 2025-01-06 – p.33/33