SlideShare a Scribd company logo
1 of 1
Bornales, Juffer Denn C. Math 3 Intro to Statistics: MW (3-4:30pm)
BA-Communication III - A July 8, 2013
Article Source: http://www.nejm.org/doi/full/10.1056/NEJMoa1302160#t=articleTop
1. Identify the Variables in the Study and indicate the type of data and level of measurement.
a. 32 members of the family with central precocious puberty - Numeric; Discrete
b. 8 members of the family with normal pubertal timing - Numeric; Discrete
c. Gender - Categorical; Nominal
i. 27 females and 5 males (with central precocious puberty) - Numeric; Discrete
ii. 5 females and 3 males (with normal pubertal timing) - Numeric; Discrete
2. What is the population in the study?
15 families with central precocious puberty and their affected and unaffected family members
3. What do you think should be the appropriate sampling technique to be used?
Simple Random Sampling

More Related Content

Similar to Statistics

demography-210510094527.pdf
demography-210510094527.pdfdemography-210510094527.pdf
demography-210510094527.pdfShennieStephanie
 
Critique of epidemiologic studies (ppt)
Critique of epidemiologic studies (ppt)Critique of epidemiologic studies (ppt)
Critique of epidemiologic studies (ppt)Tesfahun Taddege
 
Sample of Crtiquing Epidemiologic study
Sample of Crtiquing Epidemiologic studySample of Crtiquing Epidemiologic study
Sample of Crtiquing Epidemiologic studyTesfahun Taddege
 
Note; you didn’t corrected this question network models and netw.docx
Note; you didn’t corrected this question network models and netw.docxNote; you didn’t corrected this question network models and netw.docx
Note; you didn’t corrected this question network models and netw.docxcurwenmichaela
 
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docxRunning head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docxtoltonkendal
 
An introduction to population based data for studies of DNA methylation
An introduction to population based data for studies of DNA methylationAn introduction to population based data for studies of DNA methylation
An introduction to population based data for studies of DNA methylationDavid Rehkopf
 
Age 8 trauma symptom checklist
Age  8 trauma symptom checklist Age  8 trauma symptom checklist
Age 8 trauma symptom checklist Cristina Puebla
 
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...Scott La Point, Psy.D., LPC
 
Research proposal for obesity prevalence in housewives
Research proposal for obesity prevalence in housewives Research proposal for obesity prevalence in housewives
Research proposal for obesity prevalence in housewives MahwishAurangzeb
 
Epidemiological Study of Congenital Heart Disease S.L. C h a.docx
Epidemiological Study of Congenital Heart Disease S.L. C h a.docxEpidemiological Study of Congenital Heart Disease S.L. C h a.docx
Epidemiological Study of Congenital Heart Disease S.L. C h a.docxYASHU40
 
Statistics on big biomedical data - Methods and pitfalls when analyzing high...
Statistics on big biomedical data - Methods and pitfalls when analyzing high...Statistics on big biomedical data - Methods and pitfalls when analyzing high...
Statistics on big biomedical data - Methods and pitfalls when analyzing high...Lars Juhl Jensen
 
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...Lars Juhl Jensen
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Lars Juhl Jensen
 
The Relationship Between Body Image And The Media
The Relationship Between Body Image And The MediaThe Relationship Between Body Image And The Media
The Relationship Between Body Image And The MediaJessica Myers
 
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young Adults
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young AdultsBelsky et al. 2015 PNAS_Quantification of Biological Aging in Young Adults
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young AdultsDan Belsky
 

Similar to Statistics (20)

demography-210510094527.pdf
demography-210510094527.pdfdemography-210510094527.pdf
demography-210510094527.pdf
 
Critique of epidemiologic studies (ppt)
Critique of epidemiologic studies (ppt)Critique of epidemiologic studies (ppt)
Critique of epidemiologic studies (ppt)
 
Sample of Crtiquing Epidemiologic study
Sample of Crtiquing Epidemiologic studySample of Crtiquing Epidemiologic study
Sample of Crtiquing Epidemiologic study
 
Epidemiological statistics III
Epidemiological statistics IIIEpidemiological statistics III
Epidemiological statistics III
 
Note; you didn’t corrected this question network models and netw.docx
Note; you didn’t corrected this question network models and netw.docxNote; you didn’t corrected this question network models and netw.docx
Note; you didn’t corrected this question network models and netw.docx
 
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docxRunning head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
 
An introduction to population based data for studies of DNA methylation
An introduction to population based data for studies of DNA methylationAn introduction to population based data for studies of DNA methylation
An introduction to population based data for studies of DNA methylation
 
Age 8 trauma symptom checklist
Age  8 trauma symptom checklist Age  8 trauma symptom checklist
Age 8 trauma symptom checklist
 
2014 apa convention_presentation_08-07-14
2014 apa convention_presentation_08-07-142014 apa convention_presentation_08-07-14
2014 apa convention_presentation_08-07-14
 
Descriptive statistics
Descriptive  statisticsDescriptive  statistics
Descriptive statistics
 
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...
2014 apa convention_presentation_TBI_and_Substance_Abuse_Correlates_Within_a_...
 
2014 apa convention_presentation_08-07-14
2014 apa convention_presentation_08-07-142014 apa convention_presentation_08-07-14
2014 apa convention_presentation_08-07-14
 
Research proposal for obesity prevalence in housewives
Research proposal for obesity prevalence in housewives Research proposal for obesity prevalence in housewives
Research proposal for obesity prevalence in housewives
 
Epidemiological Study of Congenital Heart Disease S.L. C h a.docx
Epidemiological Study of Congenital Heart Disease S.L. C h a.docxEpidemiological Study of Congenital Heart Disease S.L. C h a.docx
Epidemiological Study of Congenital Heart Disease S.L. C h a.docx
 
Statistics on big biomedical data - Methods and pitfalls when analyzing high...
Statistics on big biomedical data - Methods and pitfalls when analyzing high...Statistics on big biomedical data - Methods and pitfalls when analyzing high...
Statistics on big biomedical data - Methods and pitfalls when analyzing high...
 
Article on biology
Article on biologyArticle on biology
Article on biology
 
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
Statistics on big biomedical data - Methods and pitfalls when analyzing high-...
 
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
Statistics on big biomedical data: Methods and pitfalls when analyzing high-t...
 
The Relationship Between Body Image And The Media
The Relationship Between Body Image And The MediaThe Relationship Between Body Image And The Media
The Relationship Between Body Image And The Media
 
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young Adults
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young AdultsBelsky et al. 2015 PNAS_Quantification of Biological Aging in Young Adults
Belsky et al. 2015 PNAS_Quantification of Biological Aging in Young Adults
 

More from Juffer Denn C. Bornales (9)

Tan-awan Whale Shark Watching
Tan-awan Whale Shark WatchingTan-awan Whale Shark Watching
Tan-awan Whale Shark Watching
 
UNLEASH Magazine
UNLEASH MagazineUNLEASH Magazine
UNLEASH Magazine
 
Surelife Care and Services
Surelife Care and ServicesSurelife Care and Services
Surelife Care and Services
 
The Essence of Journalism is a Discipline of Verification Powerpoint Presenta...
The Essence of Journalism is a Discipline of Verification Powerpoint Presenta...The Essence of Journalism is a Discipline of Verification Powerpoint Presenta...
The Essence of Journalism is a Discipline of Verification Powerpoint Presenta...
 
Media Managers
 Media Managers Media Managers
Media Managers
 
Kahit Hindi
Kahit HindiKahit Hindi
Kahit Hindi
 
Nature of a Lie
Nature of a LieNature of a Lie
Nature of a Lie
 
The Divine Command Theory
The Divine Command TheoryThe Divine Command Theory
The Divine Command Theory
 
Cebu Cinema: The Making and the Unmaking
Cebu Cinema: The Making and the UnmakingCebu Cinema: The Making and the Unmaking
Cebu Cinema: The Making and the Unmaking
 

Statistics

  • 1. Bornales, Juffer Denn C. Math 3 Intro to Statistics: MW (3-4:30pm) BA-Communication III - A July 8, 2013 Article Source: http://www.nejm.org/doi/full/10.1056/NEJMoa1302160#t=articleTop 1. Identify the Variables in the Study and indicate the type of data and level of measurement. a. 32 members of the family with central precocious puberty - Numeric; Discrete b. 8 members of the family with normal pubertal timing - Numeric; Discrete c. Gender - Categorical; Nominal i. 27 females and 5 males (with central precocious puberty) - Numeric; Discrete ii. 5 females and 3 males (with normal pubertal timing) - Numeric; Discrete 2. What is the population in the study? 15 families with central precocious puberty and their affected and unaffected family members 3. What do you think should be the appropriate sampling technique to be used? Simple Random Sampling