SlideShare a Scribd company logo
1 of 4
Basic Statistics 2011
Module 3

     Levels of Measurement
     Uses and Applications of Statistics
Objectives: At the end of the module, the students are expected to:

    1. Identify the level of measurement the data belong.
    2. Realize the uses and application of Statistics in real life.

Levels of Measurement
    1. NOMINAL LEVEL – characterized by data that consists of names, labels, or categories only. In
       this level, we can only say that one object is different from another, but the amount of
       difference between them cannot be determined.
                Example: Survey responses of yes, no, and undecided
                           Genders of students in the Statistics class
                           School Clubs where each SciTech student belongs
    2. ORDINAL LEVEL – involves data that may be arranged in some order or rank. Difference
       between data values cannot be determined or are meaningless.
                Example: Shirt sizes of S, M, or L
                           Honor ranks of students: 1st, 2nd, and 3rd
                           Grading system involving letters (A, B, C, D, and F)
    3. INTERVAL LEVEL – involves data where amount of difference between figures can be
       determined. Data at this level may lack an inherent zero starting point.
                Example: Temperature
    4. RATIO LEVEL - absolute zero value is meaningful.
                Example: Area, height, weight




        Read more on: http://www.socialresearchmethods.net/kb/measlevl.php
                                                                                                      SRSTHS




                                                                                                      1
Basic Statistics 2011
    A. Classify the following variables/data as to whether they are qualitative (QL) or
       quantitative (QN). Write also the level of measurement whether nominal (N), ordinal (O),
       interval (I), or ratio (R).

                                                                  QN/QL            Level/Scale

        1. Color of the eye
        2. Number of books in the library
        3. Position in the company
        4. Number of students enrolled in StaRSci
        5. Student ID Number
        6. Age
        7. Rank of Students
        8. Temperature in Santa Rosa
        9. Number of votes
        10. Religion

    B. Identify the level of dependent variable measurement (nominal, ordinal, interval, or ratio)
       implied by the statement.

        1. You asked congressmen if the money they have received from PACs is more than
        $100,000, between $50,000 and $100,000, or less than $50,000.

        2. You asked congress about the primary source of their PAC money: Labor unions,
        corporations, medical associations, or civil rights groups.

        3. You checked the congressional record to see how many times in the past year each
        congressman was absent from a roll call vote.

        4. You asked people on the street to rate their own congressman on a 1 - 7 Likert scale.

        5. You asked congressmen to indicate whether they are Republican, Democrat, or
        Independent.

        6. You asked people on the street to rate their own congressman as very liberal, slightly
        liberal, moderate, slightly conservative or very conservative.

        7. You asked each congressman how many years s/he had been in congress.

        8. You asked congressmen: Of the following issues, rank order the top three in
        importance: gas prices, war in Iraq, war in Afghanistan, urban crime, domestic poverty,
        subprime mortgage crisis.

Source: http://www.brainmass.com/homework-help/business/business-analysis/255911
                                                                                                     SRSTHS




                                                                                                     2
Basic Statistics 2011
Level of Measurement Practice Exercises online
http://courses.csusm.edu/soc201kb/exercises.htm

Uses and Application of Statistics
       Statistics plays a vital role in many fields of human activity. The applications of statistics have
grown so that practically every field of study now benefits in some way from the use of statistical
methods.

        Statistics helps in determining the existing position of per capita income, unemployment,
        population growth rate, housing, schooling, and medical facilities in a country.
        Manufacturers provide better products at lower costs through the use of statistical quality
        control techniques.
        Diseases are controlled through analyses designed to anticipate epidemics.
        Endangered species of fish and other wildlife are protected through regulations and laws that
        react to statistical estimates of changing population sizes.
        By pointing to lower fatality rates, legislators can better justify laws such as those governing air
        pollution, auto inspections, seat belt and air bag use, and drunk driving.

There are a lot more examples but that will be left for you to discover.

More information in:

http://www.emathzone.com/tutorials/basic-statistics/functions-or-uses-of-statistics.html

http://www.emathzone.com/tutorials/basic-statistics/importance-of-statistics-in-different-fields.html

http://www.scribd.com/doc/3530536/Applications-of-Statistics

http://www.stat.auckland.ac.nz/~wild/ChanceEnc/Ch01.usesstat.pdf

Abuses of Statistics
                                                As educated and responsible member of society, you
                                                should hone your ability to recognize distorted statistical
                                                data and learn to interpret undistorted data intelligently.
                                                You should be aware and critical to misleading and
                                                deceptive claims, such as those commonly associated with
                                                polls, graphs, and averages.

                                                More examples on:

                                                http://www.econoclass.com/misleadingstats.html

                                                http://faculty.atu.edu/mfinan/2043/section31.pdf
                                                                                                               SRSTHS




                                                                                                               3
Basic Statistics 2011

Assignment:
     1. Why do students like you need to study Statistics?
     2. Watch TV tonight or read the newspaper. Identify at least three commercials, shows, or
        segments which mentioned some kind of statistics. (example: the text poll in TV Patrol
        which asked “Do you think Pacquiao deserved his victory?”)
     3. What profession do you intend to pursue after high school? How do you think can Statistics
        be used in the field of your interest? Enumerate applications of statistics to your field of
        interest.
     4. Who do you think can benefit from the statistics given below? How can it be useful to them?




                                                                                                       SRSTHS




                                                                                                       4

More Related Content

What's hot

Unpublished study indicates high chance of fraud in thousands of tests of enem
Unpublished study indicates high chance of fraud in thousands of tests of enemUnpublished study indicates high chance of fraud in thousands of tests of enem
Unpublished study indicates high chance of fraud in thousands of tests of enemCaveon Test Security
 
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...inventionjournals
 
How to handle government related questions.
How to handle government related questions.How to handle government related questions.
How to handle government related questions.Kyle Guzik
 
Chapter 1 introduction to statistics
Chapter 1 introduction to statisticsChapter 1 introduction to statistics
Chapter 1 introduction to statisticsJohn Carlo Catacutan
 
Lesson 3 basic terms in statistics
Lesson 3 basic terms in statisticsLesson 3 basic terms in statistics
Lesson 3 basic terms in statisticsMaris Ganace
 
Module 1 statistics
Module 1   statisticsModule 1   statistics
Module 1 statisticsdionesioable
 
lecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modelinglecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modelingstone55
 
Estadística Aplicada a la Investigación
Estadística Aplicada a la InvestigaciónEstadística Aplicada a la Investigación
Estadística Aplicada a la InvestigaciónSistemadeEstudiosMed
 

What's hot (10)

Unpublished study indicates high chance of fraud in thousands of tests of enem
Unpublished study indicates high chance of fraud in thousands of tests of enemUnpublished study indicates high chance of fraud in thousands of tests of enem
Unpublished study indicates high chance of fraud in thousands of tests of enem
 
Statistics and probability lesson 4
Statistics and probability lesson 4Statistics and probability lesson 4
Statistics and probability lesson 4
 
1.5
1.51.5
1.5
 
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...
Modelling Conformity of Nigeria’s Recent Population Censuses With Benford’s D...
 
How to handle government related questions.
How to handle government related questions.How to handle government related questions.
How to handle government related questions.
 
Chapter 1 introduction to statistics
Chapter 1 introduction to statisticsChapter 1 introduction to statistics
Chapter 1 introduction to statistics
 
Lesson 3 basic terms in statistics
Lesson 3 basic terms in statisticsLesson 3 basic terms in statistics
Lesson 3 basic terms in statistics
 
Module 1 statistics
Module 1   statisticsModule 1   statistics
Module 1 statistics
 
lecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modelinglecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modeling
 
Estadística Aplicada a la Investigación
Estadística Aplicada a la InvestigaciónEstadística Aplicada a la Investigación
Estadística Aplicada a la Investigación
 

Viewers also liked

Ubacivanje lopte u igru sa strane
Ubacivanje lopte u igru sa straneUbacivanje lopte u igru sa strane
Ubacivanje lopte u igru sa straneNebojsa Đošić
 
Evidence Table & Evidence Summary form RSMITH
Evidence Table & Evidence Summary form RSMITHEvidence Table & Evidence Summary form RSMITH
Evidence Table & Evidence Summary form RSMITHRobert Smith, BSN RN
 
Basic Statistics
Basic StatisticsBasic Statistics
Basic Statisticsbotnut
 
Uji kruskal wallis
Uji kruskal wallisUji kruskal wallis
Uji kruskal wallisMunaji Aji
 
Power study: 1-way anova vs kruskall wallis
Power study: 1-way anova vs kruskall wallisPower study: 1-way anova vs kruskall wallis
Power study: 1-way anova vs kruskall wallisDon Cua
 
Statistical measures
Statistical measuresStatistical measures
Statistical measureslisawhipp
 
Non-parametric analysis: Wilcoxon, Kruskal Wallis & Spearman
Non-parametric analysis: Wilcoxon, Kruskal Wallis & SpearmanNon-parametric analysis: Wilcoxon, Kruskal Wallis & Spearman
Non-parametric analysis: Wilcoxon, Kruskal Wallis & SpearmanAzmi Mohd Tamil
 
What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?Ken Plummer
 
Null hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestNull hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestKen Plummer
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Jan Nah
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyChie Pegollo
 

Viewers also liked (20)

Ubacivanje lopte u igru sa strane
Ubacivanje lopte u igru sa straneUbacivanje lopte u igru sa strane
Ubacivanje lopte u igru sa strane
 
Evidence Table & Evidence Summary form RSMITH
Evidence Table & Evidence Summary form RSMITHEvidence Table & Evidence Summary form RSMITH
Evidence Table & Evidence Summary form RSMITH
 
Basic Statistics
Basic StatisticsBasic Statistics
Basic Statistics
 
Uji kruskal wallis
Uji kruskal wallisUji kruskal wallis
Uji kruskal wallis
 
Stats1for podcast
Stats1for podcastStats1for podcast
Stats1for podcast
 
Basic statistics
Basic statisticsBasic statistics
Basic statistics
 
Power study: 1-way anova vs kruskall wallis
Power study: 1-way anova vs kruskall wallisPower study: 1-way anova vs kruskall wallis
Power study: 1-way anova vs kruskall wallis
 
Dscriptive statistics
Dscriptive statisticsDscriptive statistics
Dscriptive statistics
 
Kruskal-Wallis H test
Kruskal-Wallis H testKruskal-Wallis H test
Kruskal-Wallis H test
 
Measures Of Central Tendencies
Measures Of Central TendenciesMeasures Of Central Tendencies
Measures Of Central Tendencies
 
Chi square using excel
Chi square using excelChi square using excel
Chi square using excel
 
Statistical measures
Statistical measuresStatistical measures
Statistical measures
 
Kruskal Wall Test
Kruskal Wall TestKruskal Wall Test
Kruskal Wall Test
 
Kruskal wallis test
Kruskal wallis testKruskal wallis test
Kruskal wallis test
 
Non-parametric analysis: Wilcoxon, Kruskal Wallis & Spearman
Non-parametric analysis: Wilcoxon, Kruskal Wallis & SpearmanNon-parametric analysis: Wilcoxon, Kruskal Wallis & Spearman
Non-parametric analysis: Wilcoxon, Kruskal Wallis & Spearman
 
What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?What is a Kruskal Wallis-Test?
What is a Kruskal Wallis-Test?
 
Module 2
Module 2Module 2
Module 2
 
Null hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis TestNull hypothesis for Kruskal Wallis Test
Null hypothesis for Kruskal Wallis Test
 
Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency Mean, Median, Mode: Measures of Central Tendency
Mean, Median, Mode: Measures of Central Tendency
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 

Similar to

1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x 1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x AbbyWhyte974
 
1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x 1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x MartineMccracken314
 
Stat11t Chapter1
Stat11t Chapter1Stat11t Chapter1
Stat11t Chapter1gueste87a4f
 
12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutionalEttaBenton28
 
12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutionalChantellPantoja184
 
Identify the types of graphsand statistics that areappropr
Identify the types of graphsand statistics that areapproprIdentify the types of graphsand statistics that areappropr
Identify the types of graphsand statistics that areapproprMalikPinckney86
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of StatisticsFlipped Channel
 
Impact of Medication Administration Errors on Leukemia.docx
Impact of Medication Administration Errors on Leukemia.docxImpact of Medication Administration Errors on Leukemia.docx
Impact of Medication Administration Errors on Leukemia.docxstudywriters
 
1. week 1
1. week 11. week 1
1. week 1renz50
 
what is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwinwhat is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/IrwinMaryam Xahra
 
Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)Harve Abella
 
Statistics for Managers notes.pdf
Statistics for Managers notes.pdfStatistics for Managers notes.pdf
Statistics for Managers notes.pdfVelujv
 
Introduce Statistics ppt
Introduce Statistics pptIntroduce Statistics ppt
Introduce Statistics pptJustynOwen
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialPrabal Chakraborty
 

Similar to (20)

Lecture notes on STS 102
Lecture notes on STS 102Lecture notes on STS 102
Lecture notes on STS 102
 
1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x 1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x
 
1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x 1) Minimum 10 full pages (No word count per page)- Follow the 3 x
1) Minimum 10 full pages (No word count per page)- Follow the 3 x
 
Brm unit iii - cheet sheet
Brm   unit iii - cheet sheetBrm   unit iii - cheet sheet
Brm unit iii - cheet sheet
 
Statistics Exericse 29
Statistics Exericse 29Statistics Exericse 29
Statistics Exericse 29
 
Stat11t chapter1
Stat11t chapter1Stat11t chapter1
Stat11t chapter1
 
Stat11t Chapter1
Stat11t Chapter1Stat11t Chapter1
Stat11t Chapter1
 
12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional
 
12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional12Levels of MeasurementNameInstitutional
12Levels of MeasurementNameInstitutional
 
Identify the types of graphsand statistics that areappropr
Identify the types of graphsand statistics that areapproprIdentify the types of graphsand statistics that areappropr
Identify the types of graphsand statistics that areappropr
 
Meaning and Importance of Statistics
Meaning and Importance of StatisticsMeaning and Importance of Statistics
Meaning and Importance of Statistics
 
Impact of Medication Administration Errors on Leukemia.docx
Impact of Medication Administration Errors on Leukemia.docxImpact of Medication Administration Errors on Leukemia.docx
Impact of Medication Administration Errors on Leukemia.docx
 
1. week 1
1. week 11. week 1
1. week 1
 
what is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwinwhat is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwin
 
Chap001
Chap001Chap001
Chap001
 
Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)Class lecture notes # 2 (statistics for research)
Class lecture notes # 2 (statistics for research)
 
Statistics for Managers notes.pdf
Statistics for Managers notes.pdfStatistics for Managers notes.pdf
Statistics for Managers notes.pdf
 
Windshield survey
Windshield surveyWindshield survey
Windshield survey
 
Introduce Statistics ppt
Introduce Statistics pptIntroduce Statistics ppt
Introduce Statistics ppt
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study Material
 

More from Chie Pegollo

Counting Technique, Permutation, Combination
Counting Technique, Permutation, CombinationCounting Technique, Permutation, Combination
Counting Technique, Permutation, CombinationChie Pegollo
 
Sampling techniquesmod5
Sampling techniquesmod5Sampling techniquesmod5
Sampling techniquesmod5Chie Pegollo
 
Counting techniques
Counting techniquesCounting techniques
Counting techniquesChie Pegollo
 
Measuresofcentraltendencygrpdata
MeasuresofcentraltendencygrpdataMeasuresofcentraltendencygrpdata
MeasuresofcentraltendencygrpdataChie Pegollo
 
Presentationofdatamod6b
Presentationofdatamod6bPresentationofdatamod6b
Presentationofdatamod6bChie Pegollo
 
Presentationofdatamod6b
Presentationofdatamod6bPresentationofdatamod6b
Presentationofdatamod6bChie Pegollo
 
presentation of data
presentation of datapresentation of data
presentation of dataChie Pegollo
 
Abuses of statistics
Abuses of statisticsAbuses of statistics
Abuses of statisticsChie Pegollo
 
Abuses Of Statistics
Abuses Of StatisticsAbuses Of Statistics
Abuses Of StatisticsChie Pegollo
 

More from Chie Pegollo (12)

Counting Technique, Permutation, Combination
Counting Technique, Permutation, CombinationCounting Technique, Permutation, Combination
Counting Technique, Permutation, Combination
 
Sampling techniquesmod5
Sampling techniquesmod5Sampling techniquesmod5
Sampling techniquesmod5
 
Counting techniques
Counting techniquesCounting techniques
Counting techniques
 
Measuresofcentraltendencygrpdata
MeasuresofcentraltendencygrpdataMeasuresofcentraltendencygrpdata
Measuresofcentraltendencygrpdata
 
Presentationofdatamod6b
Presentationofdatamod6bPresentationofdatamod6b
Presentationofdatamod6b
 
Presentationofdatamod6b
Presentationofdatamod6bPresentationofdatamod6b
Presentationofdatamod6b
 
presentation of data
presentation of datapresentation of data
presentation of data
 
Data gathering
Data gatheringData gathering
Data gathering
 
Abuses of statistics
Abuses of statisticsAbuses of statistics
Abuses of statistics
 
Module 3
Module 3Module 3
Module 3
 
Abuses Of Statistics
Abuses Of StatisticsAbuses Of Statistics
Abuses Of Statistics
 
Basic Statistics
Basic  StatisticsBasic  Statistics
Basic Statistics
 

  • 1. Basic Statistics 2011 Module 3  Levels of Measurement  Uses and Applications of Statistics Objectives: At the end of the module, the students are expected to: 1. Identify the level of measurement the data belong. 2. Realize the uses and application of Statistics in real life. Levels of Measurement 1. NOMINAL LEVEL – characterized by data that consists of names, labels, or categories only. In this level, we can only say that one object is different from another, but the amount of difference between them cannot be determined. Example: Survey responses of yes, no, and undecided Genders of students in the Statistics class School Clubs where each SciTech student belongs 2. ORDINAL LEVEL – involves data that may be arranged in some order or rank. Difference between data values cannot be determined or are meaningless. Example: Shirt sizes of S, M, or L Honor ranks of students: 1st, 2nd, and 3rd Grading system involving letters (A, B, C, D, and F) 3. INTERVAL LEVEL – involves data where amount of difference between figures can be determined. Data at this level may lack an inherent zero starting point. Example: Temperature 4. RATIO LEVEL - absolute zero value is meaningful. Example: Area, height, weight Read more on: http://www.socialresearchmethods.net/kb/measlevl.php SRSTHS 1
  • 2. Basic Statistics 2011 A. Classify the following variables/data as to whether they are qualitative (QL) or quantitative (QN). Write also the level of measurement whether nominal (N), ordinal (O), interval (I), or ratio (R). QN/QL Level/Scale 1. Color of the eye 2. Number of books in the library 3. Position in the company 4. Number of students enrolled in StaRSci 5. Student ID Number 6. Age 7. Rank of Students 8. Temperature in Santa Rosa 9. Number of votes 10. Religion B. Identify the level of dependent variable measurement (nominal, ordinal, interval, or ratio) implied by the statement. 1. You asked congressmen if the money they have received from PACs is more than $100,000, between $50,000 and $100,000, or less than $50,000. 2. You asked congress about the primary source of their PAC money: Labor unions, corporations, medical associations, or civil rights groups. 3. You checked the congressional record to see how many times in the past year each congressman was absent from a roll call vote. 4. You asked people on the street to rate their own congressman on a 1 - 7 Likert scale. 5. You asked congressmen to indicate whether they are Republican, Democrat, or Independent. 6. You asked people on the street to rate their own congressman as very liberal, slightly liberal, moderate, slightly conservative or very conservative. 7. You asked each congressman how many years s/he had been in congress. 8. You asked congressmen: Of the following issues, rank order the top three in importance: gas prices, war in Iraq, war in Afghanistan, urban crime, domestic poverty, subprime mortgage crisis. Source: http://www.brainmass.com/homework-help/business/business-analysis/255911 SRSTHS 2
  • 3. Basic Statistics 2011 Level of Measurement Practice Exercises online http://courses.csusm.edu/soc201kb/exercises.htm Uses and Application of Statistics Statistics plays a vital role in many fields of human activity. The applications of statistics have grown so that practically every field of study now benefits in some way from the use of statistical methods. Statistics helps in determining the existing position of per capita income, unemployment, population growth rate, housing, schooling, and medical facilities in a country. Manufacturers provide better products at lower costs through the use of statistical quality control techniques. Diseases are controlled through analyses designed to anticipate epidemics. Endangered species of fish and other wildlife are protected through regulations and laws that react to statistical estimates of changing population sizes. By pointing to lower fatality rates, legislators can better justify laws such as those governing air pollution, auto inspections, seat belt and air bag use, and drunk driving. There are a lot more examples but that will be left for you to discover. More information in: http://www.emathzone.com/tutorials/basic-statistics/functions-or-uses-of-statistics.html http://www.emathzone.com/tutorials/basic-statistics/importance-of-statistics-in-different-fields.html http://www.scribd.com/doc/3530536/Applications-of-Statistics http://www.stat.auckland.ac.nz/~wild/ChanceEnc/Ch01.usesstat.pdf Abuses of Statistics As educated and responsible member of society, you should hone your ability to recognize distorted statistical data and learn to interpret undistorted data intelligently. You should be aware and critical to misleading and deceptive claims, such as those commonly associated with polls, graphs, and averages. More examples on: http://www.econoclass.com/misleadingstats.html http://faculty.atu.edu/mfinan/2043/section31.pdf SRSTHS 3
  • 4. Basic Statistics 2011 Assignment: 1. Why do students like you need to study Statistics? 2. Watch TV tonight or read the newspaper. Identify at least three commercials, shows, or segments which mentioned some kind of statistics. (example: the text poll in TV Patrol which asked “Do you think Pacquiao deserved his victory?”) 3. What profession do you intend to pursue after high school? How do you think can Statistics be used in the field of your interest? Enumerate applications of statistics to your field of interest. 4. Who do you think can benefit from the statistics given below? How can it be useful to them? SRSTHS 4