To balance inventory at Otto's Optometry, customer Gender and Eye Condition were collected in the data. Make a 2x2 pivot table with Gender in rows and Eye Condition in columns. Customer #Eye ConditionGender 1FarsightedMale 2BifocalsMale 3NearsightedMale 4FarsightedMale 5NearsightedFemale 6FarsightedMale 7FarsightedMale 8NearsightedFemale 9NearsightedMale 10FarsightedMale 11BifocalsMale 12FarsightedFemale 13FarsightedMale 14FarsightedMale 15FarsightedMale 16FarsightedMale 17NearsightedMale 18BifocalsFemale 19FarsightedMale 20FarsightedMale 21FarsightedMale 22BifocalsMale 23FarsightedFemale 24NearsightedMale 25NearsightedFemale 26BifocalsFemale 27NearsightedFemale 28FarsightedFemale 29BifocalsMale 30NearsightedFemale 31FarsightedMale 32BifocalsFemale 33FarsightedMale 34BifocalsFemale 35BifocalsFemale 36FarsightedFemale 37BifocalsMale 38FarsightedMale 39BifocalsFemale 40BifocalsMale 41FarsightedMale 42FarsightedFemale 43BifocalsFemale 44FarsightedFemale 45FarsightedMale 46FarsightedMale 47BifocalsFemale 48FarsightedFemale 49FarsightedFemale 50BifocalsMale 51NearsightedMale 52BifocalsFemale 53FarsightedFemale 54FarsightedFemale 55FarsightedMale 56BifocalsFemale 57FarsightedFemale 58FarsightedMale 59FarsightedMale 60NearsightedMale 61FarsightedFemale 62NearsightedMale 63FarsightedFemale 64FarsightedFemale 65BifocalsFemale 66FarsightedMale 67BifocalsMale 68FarsightedFemale 69FarsightedMale 70FarsightedFemale 71BifocalsFemale 72FarsightedMale 73BifocalsFemale 74FarsightedFemale 75FarsightedFemale 76FarsightedFemale 77FarsightedFemale 78FarsightedFemale 79FarsightedFemale 80FarsightedFemale 81FarsightedFemale 82FarsightedFemale 83FarsightedFemale 84FarsightedFemale

Customer # Eye Condition Gender 1 Farsighted Male 2 Bifocals Male 3 Nearsighted Male 4…

Answered: To balance inventory at Otto's…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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To balance inventory at Otto's Optometry, customer Gender and Eye Condition were collected in the data. Make a 2x2 pivot table with Gender in rows and Eye Condition in columns.
	Customer #	Eye Condition	Gender
	1	Farsighted	Male
	2	Bifocals	Male
	3	Nearsighted	Male
	4	Farsighted	Male
	5	Nearsighted	Female
	6	Farsighted	Male
	7	Farsighted	Male
	8	Nearsighted	Female
	9	Nearsighted	Male
	10	Farsighted	Male
	11	Bifocals	Male
	12	Farsighted	Female
	13	Farsighted	Male
	14	Farsighted	Male
	15	Farsighted	Male
	16	Farsighted	Male
	17	Nearsighted	Male
	18	Bifocals	Female
	19	Farsighted	Male
	20	Farsighted	Male
	21	Farsighted	Male
	22	Bifocals	Male
	23	Farsighted	Female
	24	Nearsighted	Male
	25	Nearsighted	Female
	26	Bifocals	Female
	27	Nearsighted	Female
	28	Farsighted	Female
	29	Bifocals	Male
	30	Nearsighted	Female
	31	Farsighted	Male
	32	Bifocals	Female
	33	Farsighted	Male
	34	Bifocals	Female
	35	Bifocals	Female
	36	Farsighted	Female
	37	Bifocals	Male
	38	Farsighted	Male
	39	Bifocals	Female
	40	Bifocals	Male
	41	Farsighted	Male
	42	Farsighted	Female
	43	Bifocals	Female
	44	Farsighted	Female
	45	Farsighted	Male
	46	Farsighted	Male
	47	Bifocals	Female
	48	Farsighted	Female
	49	Farsighted	Female
	50	Bifocals	Male
	51	Nearsighted	Male
	52	Bifocals	Female
	53	Farsighted	Female
	54	Farsighted	Female
	55	Farsighted	Male
	56	Bifocals	Female
	57	Farsighted	Female
	58	Farsighted	Male
	59	Farsighted	Male
	60	Nearsighted	Male
	61	Farsighted	Female
	62	Nearsighted	Male
	63	Farsighted	Female
	64	Farsighted	Female
	65	Bifocals	Female
	66	Farsighted	Male
	67	Bifocals	Male
	68	Farsighted	Female
	69	Farsighted	Male
	70	Farsighted	Female
	71	Bifocals	Female
	72	Farsighted	Male
	73	Bifocals	Female
	74	Farsighted	Female
	75	Farsighted	Female
	76	Farsighted	Female
	77	Farsighted	Female
	78	Farsighted	Female
	79	Farsighted	Female
	80	Farsighted	Female
	81	Farsighted	Female
	82	Farsighted	Female
	83	Farsighted	Female
	84	Farsighted	Female