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Pertemuan 1 - 3 PENDAHULUAN Hdi Nasbey, M.Si Jurusan Fisika Fakultas Matematika dan Ilmu Pemgetahuan Alam
Outline ,[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta   |  www.unj.ac.id  |
Learning Outcomes ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Outline Materi ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
What is Statistics? ,[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Design of Survey Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Reasons for Drawing a Sample ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Types of Sampling Methods Quota Samples Non-Probability Samples (Convenience) Judgement Chunk Probability Samples Simple  Random Systematic Stratified Cluster 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Probability Sampling ,[object Object],Probability Samples Simple  Random Systematic Stratified Cluster 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Variables and Data ,[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Definitions ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
How many variables have you measured? ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Types of Variables 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | Qualitative Quantitative Discrete Continuous
Types of Variables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Types of Variables ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Graphing Qualitative Variables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | Color Tally Frequency Relative Frequency Percent Red 5 5/25 = .20 20% Blue 3 3/25 = .12 12% Green 2 2/25 = .08 8% Orange 3 3/25 = .12 12% Brown  8 8/25 = .32 32% Yellow 4 4/25 = .16 16% m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m
Graphs Bar Chart: How often a particular category was observed Pie Chart: How the measurements are distributed among the categories 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Graphing Quantitative Variables ,[object Object],A Big Mac hamburger costs $3.64 in Switzerland, $2.44 in the U.S. and $1.10 in South Africa. 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Dotplots ,[object Object],[object Object],[object Object],Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 4 5 6 7
Stem and Leaf Plots ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example The prices ($) of 18 brands of walking shoes: 90 70 70 70 75 70 65 68 60 74 70 95 75 70 68 65 40 65 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 4 0 5 6 5 8 0 8 5 5 7 0 0 0 5 0 4 0 5 0 8 9 0 5 4 0 5 6 0 5 5 5 8 8  7 0 0 0 0 0 0 4 5 5  8 9 0 5  Reorder
Interpreting Graphs: Location and Spread ,[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Tabulating and Graphing Numerical Data Numerical Data Ordered Array Stem   and   Leaf Display Histograms Ogive Tables 41, 24, 32, 26, 27, 27, 30, 24, 38, 21 21, 24, 24, 26, 27, 27, 30, 32, 38, 41 Frequency Distributions Cumulative Distributions Polygons 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 2   144677 3  028 4   1
Tabulating Numerical Data: Frequency Distributions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Frequency Distributions, Relative Frequency Distributions and Percentage Distributions Class  Frequency 10 but under 20  3  .15  15 20 but under 30   6  .30  30 30 but under 40   5  .25  25  40 but under 50  4  .20  20 50 but under 60   2  .10  10  Total   20  1  100 Relative Frequency Percentage Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Graphing Numerical Data:  The Histogram Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 No Gaps Between Bars Class Midpoints Class Boundaries 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Graphing Numerical Data:  The Frequency Polygon Class Midpoints Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Tabulating Numerical Data:  Cumulative Frequency   Cumulative  Cumulative Class    Frequency  % Frequency   10 but under 20  3  15 20 but under 30   9  45 30 but under 40   14  70  40 but under 50  18  90 50 but under 60   20  100  Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Graphing Numerical Data:  The Ogive (Cumulative % Polygon) Class Boundaries ( Not Midpoints ) Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Karakteristik SkalaPengukuran 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | Skala Pengukuran Pembedaan Kategori Urutan/ Peringkat  Jarak Di antara  Kategori Nilai Absolut Nominal Ya - - - Ordinal Ya Ya - - Interval Ya Ya Ya - Rasio Ya Ya Ya Ya
Key Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Key Concepts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |

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Introduction to Statistics and Data Analysis in Physics

  • 1. Pertemuan 1 - 3 PENDAHULUAN Hdi Nasbey, M.Si Jurusan Fisika Fakultas Matematika dan Ilmu Pemgetahuan Alam
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. Types of Sampling Methods Quota Samples Non-Probability Samples (Convenience) Judgement Chunk Probability Samples Simple Random Systematic Stratified Cluster 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Types of Variables 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | Qualitative Quantitative Discrete Continuous
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Graphs Bar Chart: How often a particular category was observed Pie Chart: How the measurements are distributed among the categories 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 21.
  • 22.
  • 23.
  • 24. Example The prices ($) of 18 brands of walking shoes: 90 70 70 70 75 70 65 68 60 74 70 95 75 70 68 65 40 65 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 4 0 5 6 5 8 0 8 5 5 7 0 0 0 5 0 4 0 5 0 8 9 0 5 4 0 5 6 0 5 5 5 8 8 7 0 0 0 0 0 0 4 5 5 8 9 0 5 Reorder
  • 25.
  • 26. Tabulating and Graphing Numerical Data Numerical Data Ordered Array Stem and Leaf Display Histograms Ogive Tables 41, 24, 32, 26, 27, 27, 30, 24, 38, 21 21, 24, 24, 26, 27, 27, 30, 32, 38, 41 Frequency Distributions Cumulative Distributions Polygons 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 2 144677 3 028 4 1
  • 27.
  • 28. Frequency Distributions, Relative Frequency Distributions and Percentage Distributions Class Frequency 10 but under 20 3 .15 15 20 but under 30 6 .30 30 30 but under 40 5 .25 25 40 but under 50 4 .20 20 50 but under 60 2 .10 10 Total 20 1 100 Relative Frequency Percentage Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 29. Graphing Numerical Data: The Histogram Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 No Gaps Between Bars Class Midpoints Class Boundaries 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 30. Graphing Numerical Data: The Frequency Polygon Class Midpoints Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 31. Tabulating Numerical Data: Cumulative Frequency Cumulative Cumulative Class Frequency % Frequency 10 but under 20 3 15 20 but under 30 9 45 30 but under 40 14 70 40 but under 50 18 90 50 but under 60 20 100 Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 32. Graphing Numerical Data: The Ogive (Cumulative % Polygon) Class Boundaries ( Not Midpoints ) Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 33.
  • 34. Karakteristik SkalaPengukuran 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | Skala Pengukuran Pembedaan Kategori Urutan/ Peringkat Jarak Di antara Kategori Nilai Absolut Nominal Ya - - - Ordinal Ya Ya - - Interval Ya Ya Ya - Rasio Ya Ya Ya Ya
  • 35.
  • 36.
  • 37.