STATISTICS FOR ENVIROMENTAL STUDIES FARIKHIN DEPARTEMEN MATEMATIKA FAKULTAS SAINS DAN MATEMATIKA UNIVERISTAS DIPONEGORO.

Slides:



Advertisements
Presentasi serupa
SUMBER KESALAHAN DALAM PROPOSAL PENELITIAN
Advertisements

Metode Penarikan Contoh 1. Data adalah things known or assumed, yang berarti bahwa data itu sesuatu yang diketahui atau dianggap (Webster New World Dictionary)
2. Introduction to Algorithm and Programming
The role of statistics.
FLOW INJECTION ANALYSIS (Analisis dalam sistem aliran)
DESAIN STUDI EPIDEMIOLOGI ANALITIK
WHAT IS MULTIPLE CRITERIA ANALYSIS?
BUDIYONO Program Pascasarjana UNS
Game Theory Purdianta, ST., MT..
K-Map Using different rules and properties in Boolean algebra can simplify Boolean equations May involve many of rules / properties during simplification.
Perancangan Database Pertemuan 07 s.d 08
IMAM ZAENUDIN, Perbedaan Hasil Belajar Siswa Antara Pembelajaran Menggunakan Model Contextual Teaching and Learning (CTL) dan Pembelajaran Konvensional.
ANALISIS STRATEGIS: MENENTUKAN POTENSI MASA MENDATANG MODUL 6 PERT. 19 S/D 21.
Research Design (Cont). Jenis Perancangan Riset Jenis perancangan mana yg akan digunakan ? Peneliti perlu memikirkan tentang apa yang mereka inginkan.
© 2002 Prentice-Hall, Inc.Chap 1-1 Bab 1 Pendahuluan.
1 Pertemuan 09 Kebutuhan Sistem Matakuliah: T0234 / Sistem Informasi Geografis Tahun: 2005 Versi: 01/revisi 1.
Metode Penarikan Contoh 1. Data adalah things known or assumed, yang berarti bahwa data itu sesuatu yang diketahui atau dianggap (Webster New World Dictionary)
Population and sample. Population is complete actual/theoretical collection of numerical values (scores) that are of interest to the researcher. Simbol.
Masalah Transportasi II (Transportation Problem II)
PENDUGAAN PARAMETER Pertemuan 7
Pertemuan 07 Peluang Beberapa Sebaran Khusus Peubah Acak Kontinu
1 Pertemuan #3 Probability Distribution Matakuliah: H0332/Simulasi dan Permodelan Tahun: 2005 Versi: 1/1.
1 Pertemuan 24 Matakuliah: I0214 / Statistika Multivariat Tahun: 2005 Versi: V1 / R1 Analisis Struktur Peubah Ganda (IV): Analisis Kanonik.
Materi. Introduction In this discussion the appliaction of maintainability to the design process is addressed. The maintainability design process is similar.
Keuangan dan Akuntansi Proyek Modul 2: BASIC TOOLS CHRISTIONO UTOMO, Ph.D. Bidang Manajemen Proyek ITS 2011.
Sistem Temu-Balik Informasi INFORMATION RETRIEVAL SYSTEMS (IRS)
Jartel, Sukiswo Sukiswo
Starting selection right place” Objectives :
Probabilitas & Statistika
DISTRIBUSI BINOMIAL.
STATISTIKA CHATPER 4 (Perhitungan Dispersi (Sebaran))
PERENCANAAN ERA HADI ALIKODRA 2011.
STATISTIKA Abdul Rohman Bagian Kimia Farmasi, Fakultas Farmasi UGM
Pengujian Hipotesis (I) Pertemuan 11
DISTRIBUSI BINOMIAL.
BY EKA ANDRIANI NOVALIA RIZKANISA VELA DESTINA
VECTOR VECTOR IN PLANE.
PENDUGAAN PARAMETER Pertemuan 8
the formula for the standard deviation:
BILANGAN REAL BILANGAN BERPANGKAT.
Dr Rilla Gantino, SE., AK., MM
Evidance Based Practice
REAL NUMBERS EKSPONENT NUMBERS.
Pertemuan Ketiga Research Design
THE EFFECT OF COOPERATIVE LEARNING TYPE JIGSAW PROBLEM SOLVING
Sistem Temu-Balik Informasi INFORMATION RETRIEVAL SYSTEMS (IRS)
Master data Management
Pertemuan 4 CLASS DIAGRAM.
Semester Pendek FMIPA UGM 2005
PROSPEK DAN TANTANGAN TEKNOLOGI PEMBELAJARAN
An assessment of Pedestrian Ways in Unsyiah
PENGARUH KEPEMIMPINAN TERHADAP KEPUASAN KERJA
ENGINEERING SCIENCE IS ABOUT SOLVING PROBLEMS
TEORI PROBABILITAS by WAHYUYANTI (WYT)
Judul Penelitian Oleh:.
Things You Need to Know Before Running on the Beach.
UTILIZATION MODELLING OF RIVER WATER BODIES AND FLOODPLAINS FOR RAW WATER SOURCE By: Asep Suheri [P DOKTORAL PROGRAMS THE STUDY PROGRAM OF NATURAL.
Business Statistics for Contemporary Decision Making.
Speaking Strategies Applied by Students at “Kampung Inggris” in Pare Kediri Yudi Setyaningsih Universitas Ma Chung Malang.
ENGINEERING RESEARCH IS A QUANTITATIVE RESEARCH
If you are an user, then you know how spam affects your account. In this article, we tell you how you can control spam’s in your ZOHO.
` DEPARTEMENT OF MECHANICAL AND BIOSYSTEM ENGINEERING DIVISION OF BIOSYSTEMS ENGINEERING Analysis of Potential Leaves of Banana, Teak Leaves, and Taro.
Right, indonesia is a wonderful country who rich in power energy not only in term of number but also diversity. Energy needs in indonesia are increasingly.
Rank Your Ideas The next step is to rank and compare your three high- potential ideas. Rank each one on the three qualities of feasibility, persuasion,
A SHORT ESSAY OF CIVIL ENGINEERING BY : ALFATIHATU RAHMI CIVIL ENGINEERING ENGINEERING FACULTY ANDALAS UNIVERSITY PADANG.
Draw a picture that shows where the knife, fork, spoon, and napkin are placed in a table setting.
Wednesday/ September,  There are lots of problems with trade ◦ There may be some ways that some governments can make things better by intervening.
Metode Pengumpulan Data E. Syahrul
Transcript presentasi:

STATISTICS FOR ENVIROMENTAL STUDIES FARIKHIN DEPARTEMEN MATEMATIKA FAKULTAS SAINS DAN MATEMATIKA UNIVERISTAS DIPONEGORO

SUBJECTS SAMPLING and SURVEY MULTIVARIATE ANALYSIS : MULTIPLE REGRESSION, FACTORS ANALYSIS AND PCA, et. al.

PRELUDE Most scientific disciplines are concerned with measuring items and collecting data. With usage of statistics, data can be used to 1.Summarize a situation 2.Model experimental outcome 3.Make a decision

PRELUDE Statistics (tools) can be viewed as follows : Descriptive (valid if data = population) Inference (generalization) Forcasting Compare this with usage of statistics

THE DATA Data are easy to collect but difficult to interpret unless they are drawn from a well-defined population of environmental units. The definition of the population is aided by viewing the population in a space-time framework.

OBJECTIVES OF ENVIRONMENTAL POLLUTION STUDIES 1.Monitoring. Data may be collected (a) to monitor or to characterize ambient concentrations in environmental media (air, water, soil, biota) or (b) To monitor concentrations in air and water effluents.

OBJECTIVES OF ENVIRONMENTAL POLLUTION STUDIES 2.Research. Field and laboratory data may be collected (a) to study the transport of pollutants through the environment by means of food chains and aerial pathways to man and (b) to determine and quantitate the cause-and-effect relationships that control the levels and variability of pollution concentrations over time and space

FOUNDATION OF FIELD SAMPLING DESIGN 1.SAMPLING IN SPACE AND TIME Environmental sampling can be viewed in a structured way by a space-time framework. Measurements or samples (soil, water, air) may be taken at each location and point in time. Alternatively, several samples collected over time or space may be combined and mixed to form a composite sample.

FOUNDATION OF FIELD SAMPLING DESIGN 2.TARGET AND SAMPLED POPULATION The target population is the set of N population units about which inferences will be made. The sampled population is the set of population units directly available for measurement. Population units are the N objects (environmental units) that make up the target or sampled population

2.TARGET AND SAMPLED POPULATION EXAMPLES OF POPULATION UNITS : Ten-gram aliquots of soil taken from a sample of field soil that undergo specified preparatory procedures, such as drying, grinding, and so on, and that will be analyzed for pollutants according to a specified procedure Air filters exposed for a specified time interval that undergo specified procedures for chemical analysis Aboveground vegetation from 2-m x 2-m plots that is dried and ashed according to prescribed procedures in preparation for wet chemistry analysis.

2.TARGET AND SAMPLED POPULATION The concepts of target and sampled populations are illustrated in the following figure. The 14 population units in A and B make up the target population.

2.TARGET AND SAMPLED POPULATION If only the 7 units in B are available for selection and measurement, then B is the sampled population. If all 14 units are available, then the sampled population and target population are identical, the ideal situation. Statistical methods cannot be used to make inferences about A + B (the target population) if only the units in B are available for selection.

FOUNDATION OF FIELD SAMPLING DESIGN 3. REPRESENTATIVE UNITS A representative unit is one selected for measurement from the target population in such a way that it, in combination with other representative units, will give an accurate picture of the phenomenon being studied. Sometimes a list of guidelines for obtaining representative samples will be constructed.

FOUNDATION OF FIELD SAMPLING DESIGN 4. CHOOSING A SAMPLING PLAN Once the space-time framework is established and the target and sampled populations are clearly defined, a sampling plan can be chosen for selecting representative units for measurement. The choice of a plan depends on study objectives, patterns of variability in the target population, cost-effectiveness of alternative plans, types of measurements to be made, and convenience.

FOUNDATION OF FIELD SAMPLING DESIGN 5. ENVIRONMENTAL VARIABILITY Environmental variability is the variation in true pollution levels from one popUlation unit to the next. Some factors that cause this variation are Distance, direction, and elevation relative to point, area, or mobile pollution sources Non-uniform distribution of pollution in environmental media due to topography, hydrogeology, meteorology, action of tides, and biological, chemical, and physical redistribution mechanisms Diversity in species composition, sex, mobility, and preferred habitats of biota Variation in natural background levels over time and space.

FOUNDATION OF FIELD SAMPLING DESIGN 6. ERROR IN ENVIRONMENTAL STUDIES Bias, Precision, and Accuracy Random Sampling Errors