Ch48 Statistics by Chtan FYHSKulai

Slides:



Advertisements
Similar presentations
Request Dispatching for Cheap Energy Prices in Cloud Data Centers
Advertisements

SpringerLink Training Kit
Luminosity measurements at Hadron Colliders
From Word Embeddings To Document Distances
Choosing a Dental Plan Student Name
Virtual Environments and Computer Graphics
Chương 1: CÁC PHƯƠNG THỨC GIAO DỊCH TRÊN THỊ TRƯỜNG THẾ GIỚI
THỰC TIỄN KINH DOANH TRONG CỘNG ĐỒNG KINH TẾ ASEAN –
D. Phát triển thương hiệu
NHỮNG VẤN ĐỀ NỔI BẬT CỦA NỀN KINH TẾ VIỆT NAM GIAI ĐOẠN
Điều trị chống huyết khối trong tai biến mạch máu não
BÖnh Parkinson PGS.TS.BS NGUYỄN TRỌNG HƯNG BỆNH VIỆN LÃO KHOA TRUNG ƯƠNG TRƯỜNG ĐẠI HỌC Y HÀ NỘI Bác Ninh 2013.
Nasal Cannula X particulate mask
Evolving Architecture for Beyond the Standard Model
HF NOISE FILTERS PERFORMANCE
Electronics for Pedestrians – Passive Components –
Parameterization of Tabulated BRDFs Ian Mallett (me), Cem Yuksel
L-Systems and Affine Transformations
CMSC423: Bioinformatic Algorithms, Databases and Tools
Some aspect concerning the LMDZ dynamical core and its use
Bayesian Confidence Limits and Intervals
实习总结 (Internship Summary)
Current State of Japanese Economy under Negative Interest Rate and Proposed Remedies Naoyuki Yoshino Dean Asian Development Bank Institute Professor Emeritus,
Front End Electronics for SOI Monolithic Pixel Sensor
Face Recognition Monday, February 1, 2016.
Solving Rubik's Cube By: Etai Nativ.
CS284 Paper Presentation Arpad Kovacs
انتقال حرارت 2 خانم خسرویار.
Summer Student Program First results
Theoretical Results on Neutrinos
HERMESでのHard Exclusive生成過程による 核子内クォーク全角運動量についての研究
Wavelet Coherence & Cross-Wavelet Transform
yaSpMV: Yet Another SpMV Framework on GPUs
Creating Synthetic Microdata for Higher Educational Use in Japan: Reproduction of Distribution Type based on the Descriptive Statistics Kiyomi Shirakawa.
MOCLA02 Design of a Compact L-­band Transverse Deflecting Cavity with Arbitrary Polarizations for the SACLA Injector Sep. 14th, 2015 H. Maesaka, T. Asaka,
Hui Wang†*, Canturk Isci‡, Lavanya Subramanian*,
Fuel cell development program for electric vehicle
Overview of TST-2 Experiment
Optomechanics with atoms
داده کاوی سئوالات نمونه
Inter-system biases estimation in multi-GNSS relative positioning with GPS and Galileo Cecile Deprez and Rene Warnant University of Liege, Belgium  
ლექცია 4 - ფული და ინფლაცია
10. predavanje Novac i financijski sustav
Wissenschaftliche Aussprache zur Dissertation
FLUORECENCE MICROSCOPY SUPERRESOLUTION BLINK MICROSCOPY ON THE BASIS OF ENGINEERED DARK STATES* *Christian Steinhauer, Carsten Forthmann, Jan Vogelsang,
Particle acceleration during the gamma-ray flares of the Crab Nebular
Interpretations of the Derivative Gottfried Wilhelm Leibniz
Advisor: Chiuyuan Chen Student: Shao-Chun Lin
Widow Rockfish Assessment
SiW-ECAL Beam Test 2015 Kick-Off meeting
On Robust Neighbor Discovery in Mobile Wireless Networks
Chapter 6 并发:死锁和饥饿 Operating Systems: Internals and Design Principles
You NEED your book!!! Frequency Distribution
Y V =0 a V =V0 x b b V =0 z
Fairness-oriented Scheduling Support for Multicore Systems
Climate-Energy-Policy Interaction
Hui Wang†*, Canturk Isci‡, Lavanya Subramanian*,
The ABCD matrix for parabolic reflectors and its application to astigmatism free four-mirror cavities.
Measure Twice and Cut Once: Robust Dynamic Voltage Scaling for FPGAs
Online Learning: An Introduction
Factor Based Index of Systemic Stress (FISS)
What is Chemistry? Chemistry is: the study of matter & the changes it undergoes Composition Structure Properties Energy changes.
THE BERRY PHASE OF A BOGOLIUBOV QUASIPARTICLE IN AN ABRIKOSOV VORTEX*
Quantum-classical transition in optical twin beams and experimental applications to quantum metrology Ivano Ruo-Berchera Frascati.
The Toroidal Sporadic Source: Understanding Temporal Variations
FW 3.4: More Circle Practice
ارائه یک روش حل مبتنی بر استراتژی های تکاملی گروه بندی برای حل مسئله بسته بندی اقلام در ظروف
Decision Procedures Christoph M. Wintersteiger 9/11/2017 3:14 PM
Online Social Networks and Media
Limits on Anomalous WWγ and WWZ Couplings from DØ
Presentation transcript:

Ch48 Statistics by Chtan FYHSKulai Chapter 48 Statistics 统计学 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 参考书 :普通数学高三第29章 高级数学高二上册 Ch48 Statistics by Chtan FYHSKulai

Some very basic formulae Ch48 Statistics by Chtan FYHSKulai

Ungrouped Data Grouped Data Mean 𝒙 = 𝒙 𝟏 + 𝒙 𝟐 +… 𝒙 𝒏 𝒏 Median Middle element of an arranged series. 𝑴 𝒆 =𝑳+ 𝒏 𝟐 − 𝒇 𝒔 𝒇 𝑼−𝑳 Mode The element with the highest frequency The group with the highest frequency 平均数 中位数 众数 (Modal class) Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Ungrouped Data Grouped Data Mean deviation 𝑴.𝑫.= 𝒙 𝒊 − 𝒙 𝒏 𝑴.𝑫.= 𝒙 𝒊 − 𝒙 ∙ 𝒇 𝒊 𝒇 𝒊 Standard deviation 𝒔= 𝒙 𝒊 − 𝒙 𝟐 𝒏 𝒔= 𝒙 𝒊 − 𝒙 𝟐 ∙ 𝒇 𝒊 𝒇 𝒊 variance 𝝈= 𝒙 𝒊 − 𝒙 𝟐 𝒏 𝝈= 𝒙 𝒊 − 𝒙 𝟐 ∙ 𝒇 𝒊 𝒇 𝒊 平均差 标准差 方差 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Lower quartile Q1 : 25% 下四分位 median Second quartile Q2 : 50% 上四分位 Upper quartile Q3 : 75% Quartile deviation, Q.D.= 𝑸𝟑−𝑸𝟏 𝟐 四分位差 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 𝑴 𝒆 =𝑳+ 𝒏 𝟐 − 𝒇 𝒔 𝒇 𝑼−𝑳 Acc. frequency 𝒏 𝟐 𝑼−𝑳 𝑴 𝒆 −𝑳 = 𝒇 𝒏 𝟐 − 𝒇 𝒔 f fs 𝒙 𝒊 L Me U Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Coefficient of variation = 𝒔 𝒙 ×𝟏𝟎𝟎% Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Advantages The coefficient of variation is useful because the standard deviation of data must always be understood in the context of the mean of the data. The coefficient of variation is a dimensionless number. So when comparing between data sets with different units or widely different means, one should use the coefficient of variation for comparison instead of the standard deviation. Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Disadvantages 1. When the mean value is near zero, the coefficient of variation is sensitive to small changes in the mean, limiting its usefulness. 2. Unlike the standard deviation, it cannot be used to construct confidence intervals for the mean. Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Index Number 指数 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai A very simple index number is called price relative. 价比 Price relative= 𝑷 𝟏 𝑷 𝟎 ×𝟏𝟎𝟎 Base period price Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Composite index number 𝒙 𝒊 : 𝒊 𝒕𝒉 𝒆𝒍𝒆𝒎𝒆𝒏𝒕, 𝝎 𝒊 :𝒘𝒆𝒊𝒈𝒉𝒕𝒆𝒅 𝒄𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒆 𝒊𝒏𝒅𝒆𝒙 𝒏𝒖𝒎𝒃𝒆𝒓 = 𝝎 𝒊 𝒙 𝒊 𝝎 𝒊 Similarly, Weighted average Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Price index 物价指数 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 𝑷𝒓𝒊𝒄𝒆 𝒊𝒏𝒅𝒆𝒙= 𝝎 𝒊 𝒙 𝒊 𝝎 𝒊 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Cost of living index 生活消费指数 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Cost of living 𝐢𝐧𝐝𝐞𝐱 = 𝝎 𝒊 𝒙 𝒊 𝝎 𝒊 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai Moving Average 平均移动数 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 𝒍𝒆𝒕 𝒙 𝟏 , 𝒙 𝟐 ,…, 𝒙 𝒏 be a series and let k <𝒏 be a fixed periodic number. Then, Its moving average : Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 𝒚 𝟏 = 𝒙 𝟏 + 𝒙 𝟐 +…+ 𝒙 𝒌 𝒌 𝒚 𝟐 = 𝒙 𝟐 + 𝒙 𝟑 +…+ 𝒙 𝒌+𝟏 𝒌 𝒚 𝟑 = 𝒙 𝟑 + 𝒙 𝟒 +…+ 𝒙 𝒌+𝟐 𝒌 ⋯⋯ y1, y2, y3, … is called the k-period moving average series. Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai 高级数学高二上册 Pg. 208 总复习8 Q1-Q11 Ch48 Statistics by Chtan FYHSKulai

Ch48 Statistics by Chtan FYHSKulai The end Ch48 Statistics by Chtan FYHSKulai