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1. Exploratory Data Analysis
1.3. EDA Techniques
1.3.5. Quantitative Techniques
1.3.5.3. Two-Sample t-Test for Equal Means

1.3.5.3.1.

Data Used for Two-Sample t-Test

Data Used for Two-Sample t-Test Example The following is the data used for the two-sample t-test example. The first column is miles per gallon for U.S. cars and the second column is miles per gallon for Japanese cars. For the t-test example, rows with the second column equal to -999 were deleted.

   18           24
   15           27
   18           27
   16           25
   17           31
   15           35
   14           24
   14           19
   14           28
   15           23
   15           27
   14           20
   15           22
   14           18
   22           20
   18           31
   21           32
   21           31
   10           32
   10           24
   11           26
    9           29
   28           24
   25           24
   19           33
   16           33
   17           32
   19           28
   18           19
   14           32
   14           34
   14           26
   14           30
   12           22
   13           22
   13           33
   18           39
   22           36
   19           28
   18           27
   23           21
   26           24
   25           30
   20           34
   21           32
   13           38
   14           37
   15           30
   14           31
   17           37
   11           32
   13           47
   12           41
   13           45
   15           34
   13           33
   13           24
   14           32
   22           39
   28           35
   13           32
   14           37
   13           38
   14           34
   15           34
   12           32
   13           33
   13           32
   14           25
   13           24
   12           37
   13           31
   18           36
   16           36
   18           34
   18           38
   23           32
   11           38
   12           32
   13         -999
   12         -999
   18         -999
   21         -999
   19         -999
   21         -999
   15         -999
   16         -999
   15         -999
   11         -999
   20         -999
   21         -999
   19         -999
   15         -999
   26         -999
   25         -999
   16         -999
   16         -999
   18         -999
   16         -999
   13         -999
   14         -999
   14         -999
   14         -999
   28         -999
   19         -999
   18         -999
   15         -999
   15         -999
   16         -999
   15         -999
   16         -999
   14         -999
   17         -999
   16         -999
   15         -999
   18         -999
   21         -999
   20         -999
   13         -999
   23         -999
   20         -999
   23         -999
   18         -999
   19         -999
   25         -999
   26         -999
   18         -999
   16         -999
   16         -999
   15         -999
   22         -999
   22         -999
   24         -999
   23         -999
   29         -999
   25         -999
   20         -999
   18         -999
   19         -999
   18         -999
   27         -999
   13         -999
   17         -999
   13         -999
   13         -999
   13         -999
   30         -999
   26         -999
   18         -999
   17         -999
   16         -999
   15         -999
   18         -999
   21         -999
   19         -999
   19         -999
   16         -999
   16         -999
   16         -999
   16         -999
   25         -999
   26         -999
   31         -999
   34         -999
   36         -999
   20         -999
   19         -999
   20         -999
   19         -999
   21         -999
   20         -999
   25         -999
   21         -999
   19         -999
   21         -999
   21         -999
   19         -999
   18         -999
   19         -999
   18         -999
   18         -999
   18         -999
   30         -999
   31         -999
   23         -999
   24         -999
   22         -999
   20         -999
   22         -999
   20         -999
   21         -999
   17         -999
   18         -999
   17         -999
   18         -999
   17         -999
   16         -999
   19         -999
   19         -999
   36         -999
   27         -999
   23         -999
   24         -999
   34         -999
   35         -999
   28         -999
   29         -999
   27         -999
   34         -999
   32         -999
   28         -999
   26         -999
   24         -999
   19         -999
   28         -999
   24         -999
   27         -999
   27         -999
   26         -999
   24         -999
   30         -999
   39         -999
   35         -999
   34         -999
   30         -999
   22         -999
   27         -999
   20         -999
   18         -999
   28         -999
   27         -999
   34         -999
   31         -999
   29         -999
   27         -999
   24         -999
   23         -999
   38         -999
   36         -999
   25         -999
   38         -999
   26         -999
   22         -999
   36         -999
   27         -999
   27         -999
   32         -999
   28         -999
   31         -999

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