Create a comparative dotplot for student heights split by sex. To do this, go to graph and then select the graph type. Here since we have all the heights in one column, it is a one y. Since we are splitting the data by the variable sex, it is with groups. Select height as the y (graph) variable, and then sex as the variable to split by. Change the title to “Student Heights by Sex”. Make sure the x-axis is labeled “height in inches”. To change labels, right click on them and choose edit. Type in the new label. Paste the graph below. Does there seem to be a difference in heights based on sex? AgeGenderHeightArm LengthNumber SiblingsBirth OrderHandednessNumber ClassesNumber CreditsHrs. ExerciseAthlete at BroomeHrs. TVAwardPulseNumber PiercingsFacebook FriendsFollowers on InstagramTattooDivisionLocalsection18f6327.523r4141.5n3NP7428272nHSy419m7431.545r4115n1.5O 0600700nSTEMy417f6629.222l6155y21NP64218011370nHSy418f663055r41230n15NP911500700nLAy430m673031r4125n5OG832 ySTEMn420f66271 r5157n7AA651501015nLAy426f672911r5143n0OG225130120yHSy418f642812r5137y6NP2055050ySTEMy417f642832r5132n3NP 9407472n y419m69 21r5131n10NP 0070ySTEMy418f6627.541r512 n48AA702289246yHSn419m7530.532r5134n2OG860254317nLAy418m703122r4141n18NP6900280nHSn418m7330.522r6174n6NP 001000n n418m7031.522r5163n40OG7103000nSTEMn419f682922r5120n4OG 201000n n418f6427.534r5150n10OG929200400y y418m7131.511r4123y8OG 10792yBPSn419m713092r61510n1OG 202000yHSy424m703056a133.5n15.5AA5802000450nLAy1221m723122r5155n10NP5210378yBPSy1218m693012r720.55n3NP620186716nHSn1244f642552r4133n3NP65650025yHSy1218f632801r41415n5NP5870600nHSy1220f662912r5136n5OG6242001000yHSn1222f683012r277n20AA68000n n1218f642801r6187n1NP8146002000ySTEMn1232f6326.521r4120n7NP 516000nHSy1219f672741r5160n2NP8849231597yHSn1228m662952r4141n20NP7002500yHSn1219f632712r6176y9OG610701500nHSy1218f63273 r5157y2OG6841001000yLAn1219f61.52731r5142.5y2.5OG778400800nHSy1219f662811r4127n12NP705150900nHSy1219f6225.523r4120n20AA8121000340nLAy1221f652874r4126unsure8NP 702000ySTEMy1218f6829.512l5163n5OG452065nHSy1220f6629.501r5130n8NP602500401nLAn1224f682801r5193n3.5AA862062yBPSn1118f642911r5153n7NP7521201624nLAn1118m713301r5 1n4AA740030nLAy1119f66 22r5162n7AA82460585nBPSn1119f612812l4120n10AA931346836yHSn1118f692912l51560unsure14AA104420001000yLAy1118f6428.522r5154n2OG78401580yHSy1119f662711r5133n10OG7575001200yLAy1118f6525.343r51514n20AA7442501800yLAy1120f6628.553r5150.5n60AA7432000500yLAy1120m713011r7178.5n NP 09501112nLAn1119f632576r4127n3AA101220001600nLAy1118f632687r5165n2OG706500730yHSy1121m662901l41410n2OG7800600ySTEMn1122f692701r285n3OG86620001500yHSy1139f6425.566r265n10NP802500yHSy1120f622511r41420n0NP 000nLAy1118m6728.552r5168y0NP652350955y y1118f612741r51514unsure7OG88000nHSy1124f6227.575r5133n5OG7601000950nHSy11 4:48l LTE 4Grocery Data.xlsxItemsPriceMethod58141 O9.36 C312 C87215 C2084 O17 C3378 O2399 C25135 C39 O321 O68256 C1795 C20114 C22178 C56217 C339 O47186 C2479 C89413 C1587 O1056 C9.25 O123 O17109 C23156 C116 O38174 C40233 C541 O1995 C77237 C

Given information: The data represents the values of the variables age, gender, height, arm length…

Answered: Create a comparative dotplot for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Create a comparative dotplot for student heights split by sex. To do this, go to graph and then select the graph type. Here since we have all the heights in one column, it is a one y. Since we are splitting the data by the variable sex, it is with groups. Select height as the y (graph) variable, and then sex as the variable to split by. Change the title to “Student Heights by Sex”. Make sure the x-axis is labeled “height in inches”. To change labels, right click on them and choose edit. Type in the new label. Paste the graph below. Does there seem to be a difference in heights based on sex?

Age	Gender	Height	Arm Length	Number Siblings	Birth Order	Handedness	Number Classes	Number Credits	Hrs. Exercise	Athlete at Broome	Hrs. TV	Award	Pulse	Number Piercings	Facebook Friends	Followers on Instagram	Tattoo	Division	Local	section
18	f	63	27.5	2	3	r	4	14	1.5	n	3	NP	74	2	82	72	n	HS	y	4
19	m	74	31.5	4	5	r	4	11	5	n	1.5	O		0	600	700	n	STEM	y	4
17	f	66	29.2	2	2	l	6	15	5	y	21	NP	64	2	1801	1370	n	HS	y	4
18	f	66	30	5	5	r	4	12	30	n	15	NP	91	1	500	700	n	LA	y	4
30	m	67	30	3	1	r	4	12	5	n	5	OG	83	2			y	STEM	n	4
20	f	66	27	1		r	5	15	7	n	7	AA	65	1	50	1015	n	LA	y	4
26	f	67	29	1	1	r	5	14	3	n	0	OG	22	5	130	120	y	HS	y	4
18	f	64	28	1	2	r	5	13	7	y	6	NP	20	5	50	50	y	STEM	y	4
17	f	64	28	3	2	r	5	13	2	n	3	NP		9	407	472	n		y	4
19	m	69		2	1	r	5	13	1	n	10	NP		0	0	70	y	STEM	y	4
18	f	66	27.5	4	1	r	5	12		n	48	AA	70	2	289	246	y	HS	n	4
19	m	75	30.5	3	2	r	5	13	4	n	2	OG	86	0	254	317	n	LA	y	4
18	m	70	31	2	2	r	4	14	1	n	18	NP	69	0	0	280	n	HS	n	4
18	m	73	30.5	2	2	r	6	17	4	n	6	NP		0	0	1000	n		n	4
18	m	70	31.5	2	2	r	5	16	3	n	40	OG	71	0	300	0	n	STEM	n	4
19	f	68	29	2	2	r	5	12	0	n	4	OG		2	0	1000	n		n	4
18	f	64	27.5	3	4	r	5	15	0	n	10	OG	92	9	200	400	y		y	4
18	m	71	31.5	1	1	r	4	12	3	y	8	OG		1	0	792	y	BPS	n	4
19	m	71	30	9	2	r	6	15	10	n	1	OG		2	0	2000	y	HS	y	4
24	m	70	30	5	6	a	1	3	3.5	n	15.5	AA	58	0	2000	450	n	LA	y	12
21	m	72	31	2	2	r	5	15	5	n	10	NP	52	1	0	378	y	BPS	y	12
18	m	69	30	1	2	r	7	20.5	5	n	3	NP	62	0	186	716	n	HS	n	12
44	f	64	25	5	2	r	4	13	3	n	3	NP	65	6	500	25	y	HS	y	12
18	f	63	28	0	1	r	4	14	15	n	5	NP	58	7	0	600	n	HS	y	12
20	f	66	29	1	2	r	5	13	6	n	5	OG	62	4	200	1000	y	HS	n	12
22	f	68	30	1	2	r	2	7	7	n	20	AA	68	0	0	0	n		n	12
18	f	64	28	0	1	r	6	18	7	n	1	NP	81	4	600	2000	y	STEM	n	12
32	f	63	26.5	2	1	r	4	12	0	n	7	NP		5	1600	0	n	HS	y	12
19	f	67	27	4	1	r	5	16	0	n	2	NP	88	4	923	1597	y	HS	n	12
28	m	66	29	5	2	r	4	14	1	n	20	NP	70	0	250	0	y	HS	n	12
19	f	63	27	1	2	r	6	17	6	y	9	OG	610	7	0	1500	n	HS	y	12
18	f	63	27	3		r	5	15	7	y	2	OG	68	4	100	1000	y	LA	n	12
19	f	61.5	27	3	1	r	5	14	2.5	y	2.5	OG	77	8	400	800	n	HS	y	12
19	f	66	28	1	1	r	4	12	7	n	12	NP	70	5	150	900	n	HS	y	12
19	f	62	25.5	2	3	r	4	12	0	n	20	AA	81	2	1000	340	n	LA	y	12
21	f	65	28	7	4	r	4	12	6	unsure	8	NP		7	0	2000	y	STEM	y	12
18	f	68	29.5	1	2	l	5	16	3	n	5	OG	45	2	0	65	n	HS	y	12
20	f	66	29.5	0	1	r	5	13	0	n	8	NP	60	2	500	401	n	LA	n	12
24	f	68	28	0	1	r	5	19	3	n	3.5	AA	86	2	0	62	y	BPS	n	11
18	f	64	29	1	1	r	5	15	3	n	7	NP	75	2	120	1624	n	LA	n	11
18	m	71	33	0	1	r	5		1	n	4	AA	74	0	0	30	n	LA	y	11
19	f	66		2	2	r	5	16	2	n	7	AA	82	4	60	585	n	BPS	n	11
19	f	61	28	1	2	l	4	12	0	n	10	AA	93	1	346	836	y	HS	n	11
18	f	69	29	1	2	l	5	15	60	unsure	14	AA	104	4	2000	1000	y	LA	y	11
18	f	64	28.5	2	2	r	5	15	4	n	2	OG	78	4	0	1580	y	HS	y	11
19	f	66	27	1	1	r	5	13	3	n	10	OG	75	7	500	1200	y	LA	y	11
18	f	65	25.3	4	3	r	5	15	14	n	20	AA	74	4	250	1800	y	LA	y	11
20	f	66	28.5	5	3	r	5	15	0.5	n	60	AA	74	3	2000	500	y	LA	y	11
20	m	71	30	1	1	r	7	17	8.5	n		NP		0	950	1112	n	LA	n	11
19	f	63	25	7	6	r	4	12	7	n	3	AA	101	2	2000	1600	n	LA	y	11
18	f	63	26	8	7	r	5	16	5	n	2	OG	70	6	500	730	y	HS	y	11
21	m	66	29	0	1	l	4	14	10	n	2	OG	78	0	0	600	y	STEM	n	11
22	f	69	27	0	1	r	2	8	5	n	3	OG	86	6	2000	1500	y	HS	y	11
39	f	64	25.5	6	6	r	2	6	5	n	10	NP	80	2	50	0	y	HS	y	11
20	f	62	25	1	1	r	4	14	20	n	0	NP		0	0	0	n	LA	y	11
18	m	67	28.5	5	2	r	5	16	8	y	0	NP	65	2	350	955	y		y	11
18	f	61	27	4	1	r	5	15	14	unsure	7	OG	88	0	0	0	n	HS	y	11
24	f	62	27.5	7	5	r	5	13	3	n	5	OG	76	0	1000	950	n	HS	y	11

4:48
l LTE 4
Grocery Data.xlsx
Items
Price
Method
58
141 O
9.
36 C
3
12 C
87
215 C
20
84 O
17 C
33
78 O
23
99 C
25
135 C
39 O
3
21 O
68
256 C
17
95 C
20
114 C
22
178 C
56
217 C
3
39 O
47
186 C
24
79 C
89
413 C
15
87 O
10
56 C
9.
25 O
1
23 O
17
109 C
23
156 C
1
16 O
38
174 C
40
233 C
5
41 O
19
95 C
77
237 C

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