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One-Sample Inferences: Choose Data Source

Data Sources
 
Use User-Data : You do NOT have a data file yet (Build a new data file)
 
Or Use Sample Data (the number inside parentheses is the number of observations)
Note: Most sample data are from SimpleR packages
 
[Numerical Data]
blood (16) brain (37) crime (51) emissions (26)
florida (67) homedata (6841) movies (25)  
[ Categorical Data ]
babies (1155) bumpers (23) cancer (62) carbon (24=3x8)
chicken (39 = 3 x 13) crab (362) hiv (2144) video (91)
 
[ Time Series ]
dow (443) fraser (946) lynx (64) nino (598)
ozone (216)
Analyze
blood
[ Numerical Data ] Variables: 2, Observations: 16

Blood pressures measured by machine and experts

  • (C1) Machine
  • (C2) Expert
Analyze
brain
[ Numerical Data ] Variables: 7, Observations: 37

Brain size data

  • (C1) Gender
  • (C2) FSIQ : FSIQ index
  • (C3) VIQ : VIQ index
  • (C4) PIQ : PIQ index
  • (C5) Weight
  • (C6) Height
  • (C7) BrainSize
Analyze
crime
[ Numerical Data ] Variables: 3, Observations: 51

crime rates for 50 U.S. states in 1983 and 1993

  • (C1) y1983
  • (C2) y1993
Analyze
emissions
[ Numerical Data ] Variables: 3, Observations: 26

CO2 emission data of 26 countries (1999)

  • (C1) GDP
  • (C2) perCapita
  • (C3) CO2
Analyze
florida
[ Numerical Data ] Variables: 12, Observations: 67

Floria Votes of 67 counties, U.S. presidential election, year 2000

  • (C1) County
  • (C2) GORE
  • (C3) BUSH
  • (C4) BUCHANAN
  • (C5) NADER
  • (C6) BROWNE
  • (C7) HAGELIN
  • (C8) HARRIS
  • (C9) MCREYNOLDS
  • (C10) MOOREHEAD
  • (C11) PHILLIPS
  • (C12) Total
Analyze
homedata
[ Numerical Data ] Variables: 2, Observations: 6841

Maplewood NJ assessed values for years 1970 and 2000

  • (C1) y1970
  • (C2) y2000
Analyze
movies
[ Numerical Data ] Variables: 4, Observations: 25

25 Best selling movies, U.S., June, 2000. Unit: million
(http://www.movieweb.com/movie/top25.html)

  • (C1) title
  • (C2) current : Sales in current week
  • (C3) previous
  • (C4) gross
Analyze
babies
[ Categorical Data ] Variables: 7, Observations: 1155

Babies and Mothers

  • (C1) bwt : Birth weight in ounces
  • (C2) gestation : Length of pregnancy in days
  • (C3) parity : 0= first born, 9=unknown
  • (C4) age : mother's age in years
  • (C5) height : mother's height (inches)
  • (C6) weight : Mother's prepregnancy weight (pounds)
  • (C7) smoke : Smoking status of mother. 0:not now, 1:yes
Analyze
bumpers
[ Categorical Data ] Variables: 2, Observations: 23

Bumper repair data of 23 cars

  • (C1) Car : Brand of Cars
  • (C2) repair : number of repair
Analyze
cancer
[ Categorical Data ] Variables: 5, Observations: 12,16,17,6,11

Survival time of cancer patients

  • (C1) stomach
  • (C2) bronchus
  • (C3) colon
  • (C4) ovary
  • (C5) breast
Analyze
carbon
[ Categorical Data ] Variables: 2, Observations: 24=3x8

Monoxide measurements in 3 different area

  • (C1) Monoxide
  • (C2) Site : Area: 1,2,3
Analyze
chicken
[ Categorical Data ] Variables: 3, Observations: 39 = 3 x 13

Weight gains of chicken feed with 3 different rations

  • (C1) Ration1
  • (C2) Ration2
  • (C3) Ration3
Analyze
crab
[ Categorical Data ] Variables: 2, Observations: 362

Data of 362 Crab

  • (C1) size : Carapace size
  • (C2) shell : 1=clean shell, 0=fouled shell
Analyze
hiv
[ Categorical Data ] Variables: 6, Observations: 2144

HIV in Hemophiliacs
(http://www.stat.Berkeley.EDU/users/statlabs/labs.html)

  • (C1) hiv : HIV status 1= negative, 2=positive
  • (C2) factor : Factor 8 average dose,1=high, 2=moderate,
    3=low, 4=unknown, 5=none
  • (C3) year : 年
  • (C4) age : Age group in 5 year increments: 1=0-4, 2=5-9, ..., 13=60-64, 14=65+
  • (C5) py : Person years
  • (C6) deaths : Number of deaths
Analyze
video
[ Categorical Data ] Variables: 15, Observations: 91

Video games data

  • (C1) time : Time spent playing video games in week
  • (C2) like : Like to play video games:1=Never played, 2=Very much, 3=Somewhat,
    4=Not really, 5=Not at all
  • (C3) where : 1=Arcade, 2=Home on a system, 3=Home on a computer
    4=Home on computer and system, 5=Arcade and Home(system or computer)
    6=Arcade and home (both system and computer)
  • (C4) freq : How often play video games,1=Daily, 2=Weekly, 3=Monthly, 4=Semesterly
  • (C5) busy : Play if busy.0=no, 1=yes
  • (C6) educ : Is playing video games educational? 0=no, 1=yes
  • (C7) sex : 0=female,1=male
  • (C8) age
  • (C9) home : Computer at home? 0=No,1=Yes
  • (C10) math : hate math? 0=No,1=Yes
  • (C11) work : Hours worked for pay in the week
  • (C12) own : Own PC? 0=No,1=Yes
  • (C13) cdrom : Owned PC has a CDROM? 0=No,1=Yes
  • (C14) email : has email account? 0=No,1=Yes
  • (C15) grade : Grade expect in course.4=A, 3=B, 2=C, 1=D, 0=F
Analyze
dow
[ Time Series ] Variables: 5, Observations: 443

DowJonse Index (daily data, 1991/1 to 2000/10)

  • (C1) Date
  • (C2) Open
  • (C3) High
  • (C4) Low
  • (C5) Close
Analyze
fraser
[ Time Series ] Variables: 1, Observations: 946

Fraser River at Hope, mean monthly flow (cms),1912.3-1991.12

  • (C1) fraser : CMS measurement
Analyze
lynx
[ Time Series ] Variables: 3, Observations: 64

Numbers of lynx and mink trapped in McKenzie River, Canada (1848 to 1911)

  • (C1) Year
  • (C2) Lynx
  • (C3) Mink
Analyze
nino
[ Time Series ] Variables: 2, Observations: 598

Sea Surface Temperature (SST) Nino 3 and Nino 3.4 Indices (1950/1 to 1999/10)

  • (C1) Nino3
  • (C2) Nino3.4
Analyze
ozone
[ Time Series ] Variables: 1, Observations: 216

Ozone concentration , downtown L.A. 1955.1-1972.12

  • (C1) ozone