Question

In: Math

Create a crosstab table of frequencies from the data containing case id, age, sex, and marital...

Create a crosstab table of frequencies from the data containing case id, age, sex, and marital status, using an Excel pivot table. A crosstab is a table showing the relationship between two or more variables. When the table shows the relationship between two categorical variables, a crosstab is also known as a contingency table or a two-way table. Format the data as number with 1000 separator.

Please outline step by step how to create the pivot table in Microsoft Excel following the criteria above.

Solutions

Expert Solution

Open Microsoft Excel.

Go to Insert.

Find this option called Pivot table.

A new dialog box will appear when you click on the Pivot table which is as follows:

Enter the data into the Table/Range box(which in your data is case id, age, sex, and marital status) and click OK.

That's how you create the pivot table in Microsoft Excel.


Related Solutions

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 Read the data into R or R-studio...
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