The purpose of the assignment is to provide an exercise in how to compile statistical material with appropriate charts and graphs by using a statistical package (SPSS).

The data file contains the following variables:

Variables	Values
employee number gender salary (monthly salary) education experience (working experience) Category (working category) Time (working time) age	0 = man; 1 = woman 1 = elementary school; 2 = high school; 3 = university 1 = small; 2 = middle; 3 = high; 4 = very high 1 = office; 2 = white collar 1 = full time; 2=75%; 3 = part time; 4 = other

Number	Gender	Income	Education	Work experience	Kategory	work time	Age
1056	0	15250	1	1	1	1	30
1061	1	13150	1	1	1	3	65
1075	1	13270	1	1	1	3	23
1076	1	13330	1	1	1	3	46
1082	0	16870	1	1	1	2	53
1086	0	13450	1	2	1	3	54
1091	0	14770	1	1	1	1	29
1092	1	14350	1	1	1	3	24
1110	1	15730	1	1	1	1	24
1114	1	13150	1	1	1	3	57
1124	0	15190	1	1	1	1	29
1130	1	16570	1	4	1	1	55
1162	1	14650	1	1	1	2	52
1193	1	16210	1	3	1	1	61
1202	1	13930	1	1	1	3	52
1214	1	12430	1	1	1	3	56
1224	0	15670	1	1	1	1	24
1237	0	14650	1	1	1	1	29
1239	1	13570	1	1	1	2	25
1241	0	28330	1	2	2	1	48
1250	0	14170	1	1	1	2	35
1262	1	10930	1	1	1	3	55
1264	1	14950	1	2	1	2	25
1283	1	13450	1	1	1	1	58
1292	1	13810	1	1	1	1	49
1298	0	18790	1	1	1	2	31
1301	1	13810	1	1	1	1	25
1303	1	16234	1	1	1	1	27
1318	1	12730	1	1	1	2	23
1328	0	15970	1	2	1	3	59
1349	1	14530	1	2	1	2	25
1363	0	17350	1	2	1	2	64
1383	1	12970	1	1	1	2	63
1386	1	15130	1	1	1	2	38
1411	1	18370	1	1	1	1	24
1441	1	14170	1	2	1	2	26
1450	0	21490	1	4	1	1	32
1459	0	15490	1	2	1	3	40
1461	1	14350	1	3	1	2	54
1463	0	15370	1	4	1	3	33
1514	0	15310	1	4	1	3	30
1523	0	18850	1	2	1	2	30
1555	1	13030	1	1	1	3	61
1556	0	13090	1	1	1	3	25
1559	1	13810	1	1	1	3	24
1058	0	20650	2	4	2	1	29
1071	0	20650	2	1	1	1	28
1072	1	15190	2	2	1	2	34
1088	0	27370	2	3	2	1	41
1101	0	14950	2	1	1	3	33
1141	1	17890	2	1	1	1	27
1155	0	15190	2	1	1	1	34
1175	0	17590	2	1	1	2	30
1186	0	20590	2	3	2	1	35
1196	0	26520	2	2	2	1	34
1205	0	16150	2	1	1	2	43
1210	1	18790	2	1	1	1	28
1217	0	15190	2	1	1	3	31
1238	0	30970	2	3	2	1	42
1280	0	17830	2	1	1	2	33
1307	1	13330	2	1	1	3	27
1308	0	17170	2	1	1	2	31
1321	0	17110	2	1	1	2	32
1322	0	24790	2	2	1	1	33
1364	0	19690	2	1	1	1	33
1367	1	19210	2	1	1	1	30
1400	1	17110	2	2	1	1	27
1410	1	13870	2	1	1	3	29
1417	1	18490	2	1	1	1	32
1437	0	16510	2	1	1	3	29
1447	0	15490	2	1	1	3	35
1458	1	15130	2	1	1	1	30
1466	1	12850	2	1	1	3	60
1478	0	18130	2	1	1	2	32
1500	0	17410	2	1	1	2	35
1501	0	20230	2	1	1	1	27
1510	0	18970	2	1	1	1	34
1517	1	14830	2	1	1	3	30
1520	1	17590	2	1	1	2	29
1542	0	15370	2	1	1	3	35
1236	0	18970	3	1	1	2	31
1355	0	22150	3	1	1	1	43
1373	1	19690	3	1	2	1	30
1385	1	14770	3	1	1	3	25
1421	1	14410	3	1	1	2	44
1456	0	32570	3	3	2	1	37
1462	1	23320	3	3	2	1	32
1511	1	21970	3	3	2	1	28
1515	1	16690	3	2	1	1	44
1535	0	31070	3	1	2	1	38

1. Create a pie chart for education.

2. Create a bar chart for the work experience.

3. Create a histogram of age. The class should be at five-year intervals.

4. Create boxplots for monthly salary based on the level of education.

There should be three box plots in the same figure (one for each level of education). How is the median salary different from the average salary? Determine the lower and upper quartile. Comment the outliers.

5. Are there gender differences in how much one works?

Create a cross table (crosstabs) for work time and gender. Make sure to get out the percentage difference so that it can be easily read in the table.

6. Determine the average salary, median, standard deviation and quartiles for the variable salary.

Comment the result.