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In: Statistics and Probability

ID   SEX   SMOKE    AGE    PULSE_1  PULSE_2     NAME       ID    SEX   SMOKE&nbs

ID   SEX   SMOKE    AGE    PULSE_1  PULSE_2     NAME       ID    SEX   SMOKE   AGE    PULSE_1     PULSE_2     NAME

1        1         1           31          62             126         ALLAN        21 1          1         38            70 122            ARTHUR

2        2          1         20 78              154         MARY 22 1          0        20            80 139             SAMUEL

3        2          1           28       76 146        BILLIE 23      2 1 33   76 148 AMY

4        2          1          29          81             174        LINDA          24      2         0 25 78 148            ANNIE

5        1         1           21          66            128       MICHAEL      25     2          0 37    76 136            JANE

6        2          1           27         96            265        CATHY          26     2          0 22 80 158            BETH

7        1          0          21           68             120        HARVEY       27     1          0     32   68   116            CHRIS

8        2         1          42           74             149       JENEE            28      1          0     22 70 120            FRANCIS

9        2          1          22          88            160       JEAN               29      1         1      22    68 126             ERNIE

10      1         1          28          90             144       FREEDY         30     1          1        19          70 144           BERTRAM

11      2          0          21          82            140       PAT                 31      2        0        21          86 144            NANCY

12      2          1         22           79            156       MARKIE         32     1         0       26         72 126            BRUCE

13      2         1          43           66           148        SUSAN           33      2        0      32   84 136             MARGE

14      2         0          19           68            142     DENISE           34      2        0        24        72 142             BARBARA

15      1         1          23           92           134       JOHN              35      2       0 28         80 138              JENNY

16      1         0          41          68           112      DAVID 36      1        1 34      62 132              WILLIAM

17      1         0          24          76           158      ROBERT           37      1        0        35            74    164            KYLE

18      2         0          21          86           146      ALLISON          38       1       1       21 90     138           BEN

19      2         1          21           88           156      JILL                 39      1       0       21 66 142           GREG

20      1         1         20            66         132       JACKSON        40       1      0        30 70 132           RICHARD

  1. Read the data into R or R-studio and report the summary of the data for all variables. R command to get the summary followed by output without the change of format should be pasted in your document.

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Expert Solution

page 1. (FYI. First type data in excel then copy it and use above command read.table("clipboard") for paste data in r))


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