Microsoft Excel Output

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MicrosoftExcelgraphics2.docx

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Microsoft Excel graphics

Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and to highlight potential relationships between variables. The basic statistics in tis assignment are correlaton,kurtosis skewness, mean , median and mode.

ID

STUDENT ID

AGE

SEX

HEIGHT

YEAR

1

P101

24

male

61

freshman

2

P102

20

female

59

freshman

3

P103

19

female

58

freshman

4

P104

19

male

64

freshman

5

P105

22

male

62

freshman

6

P106

20

female

61

freshman

7

P107

23

female

60

freshman

8

P108

22

male

60

freshman

9

P109

19

female

58

freshman

10

P110

22

male

62

freshman

11

P201

21

female

63

junior

12

P202

19

female

59

junior

13

P203

19

female

50

junior

14

P204

21

female

55

junior

15

P205

19

female

65

junior

16

P206

22

male

57

junior

17

P207

24

male

57

junior

18

P208

20

male

59

junior

19

P209

19

male

57

junior

20

P210

20

male

62

junior

21

P301

22

female

62

sophomore

22

P302

21

female

61

sophomore

23

P303

20

female

60

sophomore

24

P304

19

female

55

sophomore

25

P305

22

male

57

sophomore

26

P306

24

male

58

sophomore

27

P307

21

male

64

sophomore

28

P308

20

female

64

sophomore

29

P309

22

male

61

sophomore

30

P310

23

male

59

sophomore

31

P401

22

female

63

senior

32

P402

24

male

62

senior

33

P403

24

male

61

senior

34

P404

25

male

60

senior

35

P405

22

female

69

senior

36

P406

22

female

61

senior

37

P407

24

female

59

senior

38

P408

27

male

64

senior

39

P409

23

female

65

senior

40

P410

25

male

62

senior

mean

21.65

60.4

mode

22

61

median

22

61

correlation

0.224942

0.224942

skewness

0.424747

-0.40944

kurtosis

-0.40166

1.750176

There is a positive correlation between age and height. The skewness of age is positive while that of height is negative. The kurtosis of age is negative while that of height is positive.

References

Andrews, I., Gentzkow, M., & Shapiro, J. M. (2020). On the informativeness of descriptive statistics for structural estimates. Econometrica88(6), 2231-2258.

STUDENT ID P101 P102 P103 P104 P105 P106 P107 P108 P109 P110 P201 P202 P203 P204 P205 P206 P207 P208 P209 P210 P301 P302 P303 P304 P305 P306 P307 P308 P309 P310 P401 P402 P403 P404 P405 P406 P407 P408 P409 P410 mean mode median correlation skewness kurtosis AGE 24 20 19 19 22 20 23 22 19 22 21 19 19 21 19 22 24 20 19 20 22 21 20 19 22 24 21 20 22 23 22 24 24 25 22 22 24 27 23 25 mean mode median correlation skewness kurtosis 21.65 22 22 0.22494184122100927 0.42474717700901932 -0.40166474030289123 SEX male female female male male female female male female male female female female female female male male male male male female female female female male male male female male male female male male male female female female male female male mean mode median correlation skewness kurtosis HEIGHT 61 59 58 64 62 61 60 60 58 62 63 59 50 55 65 57 57 59 57 62 62 61 60 55 57 58 64 64 61 59 63 62 61 60 69 61 59 64 65 62 mean mode median correlation skewness kurtosis 60.4 61 61 0.22494184122100927 -0.40944407380873177 1.7501763691599757 YEAR freshman freshman freshman freshman freshman freshman freshman freshman freshman freshman junior junior junior junior junior junior junior junior junior junior sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore senior senior senior senior senior senior senior senior senior senior mean mode median correlation skewness kurtosis