ID Age (yrs) Sex: 0: male 1: female Height (in) Family Income status: Low (0), Middle (1), High (2) 301 9 1 57.0 1 451 8 1 69.5 1 501 7 0 70.5 2 642 9 0 50.0 2 901 10 0 57.0 1 1701 8 0 62.0 0 1752 6 1 58.0 0 1753 6 1 58.5 0 1901 8 1 60.0 1 1951 9 1 53.0 1 1952 6 1 54.0 2 2001 10 0 58.5 0 2101 8 0 61.5 2 Use graphic methods to compare children’s height by income status. What is your interpretation of the data?

ID Age (yrs) Sex: 0: male 1: female Height (in) Family Income status: Low (0), Middle (1), High (2) 301 9 1 57.0 1 451 8 1 69.5 1 501 7 0 70.5 2 642 9 0 50.0 2 901 10 0 57.0 1 1701 8 0 62.0 0 1752 6 1 58.0 0 1753 6 1 58.5 0 1901 8 1 60.0 1 1951 9 1 53.0 1 1952 6 1 54.0 2 2001 10 0 58.5 0 2101 8 0 61.5 2 Use graphic methods to compare children’s height by income status. What is your interpretation of the data?

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.3: Special Probability Density Functions

Problem 36E

See similar textbooks

ID	Age (yrs)	Sex: 0: male 1: female	Height (in)	Family Income status: Low (0), Middle (1), High (2)
301	9	1	57.0	1
451	8	1	69.5	1
501	7	0	70.5	2
642	9	0	50.0	2
901	10	0	57.0	1
1701	8	0	62.0	0
1752	6	1	58.0	0
1753	6	1	58.5	0
1901	8	1	60.0	1
1951	9	1	53.0	1
1952	6	1	54.0	2
2001	10	0	58.5	0
2101	8	0	61.5	2