The file includes randomly generated data on sunflowers of sunflowers that have been exposed to either a fertiliser treatment or no fertiliser (control). The following variables were measured for each sunflower:

?Total height of the sunflower at the end of the experiment (cm). ? Flower diameter at the end of the experiment (cm). ? Percent of total weight that is water (%).

	id	treatment	height	flowerSize	wetPerc
1	1	0	84	14	93.4
2	2	0	84	16.7	92.8
3	3	0	82.3	13.6	92.8
4	4	0	72.6	14.6	93.5
5	5	0	84.1	17.1	92.4
6	6	0	85.5	13.6	92.1
7	7	0	71.3	17	92
8	8	0	73.5	16.1	93.7
9	9	0	77.7	13.6	92.8
10	10	0	79.6	13.8	93
11	11	0	77.3	14.3	92.9
12	12	0	79.6	13.6	93.3
13	13	0	74.5	12.5	93.1
14	14	0	83.9	14.6	93.8
15	15	0	88.3	16.8	93.5
16	16	0	85.8	17.1	92.6
17	17	0	78.8	14.5	92.8
18	18	0	78.6	17.3	92.3
19	19	0	78	11.6	92.6
20	20	0	85	15.6	92.9
21	21	0	89.4	16.6	93.9
22	22	0	80.5	16.9	92.6
23	23	0	76.6	19.6	93.4
24	24	0	86.8	12.8	92.8
25	25	0	90.2	15.1	93.3
26	26	0	91	16.4	93.6
27	27	0	87.5	17.9	91.5
28	28	0	71.1	17.7	92.8
29	29	0	75.7	16.6	93.9
30	30	0	81.9	15.2	92.1
31	31	0	82.6	15.5	92.7
32	32	0	76.6	13.9	92.6
33	33	0	80.3	17.9	91.9
34	34	0	71.7	15.4	93.2
35	35	0	81.5	16.6	92.3
36	36	0	89.5	14.8	93.1
37	37	0	83.8	15.8	92.4
38	38	0	75.2	14.6	93.3
39	39	0	87.5	17.3	92.7
40	40	0	83.6	17.2	92.1
41	41	0	77.5	16.6	93.3
42	42	0	83.2	15.4	93.5
43	43	0	85.7	12.4	92.2
44	44	0	73.8	15.6	92.6
45	45	0	90.4	16.9	92.5
46	46	0	84.9	11.2	92.9
47	47	0	65.1	13.9	93.8
48	48	0	72	14.2	92.2
49	49	0	85.2	14.5	93.5
50	50	0	80	14.4	93
51	51	1	95.1	18.5	92.5
52	52	1	107.5	17.9	92.6
53	53	1	93.9	19.8	92.9
54	54	1	89.4	17	93.4
55	55	1	92.3	20.7	93.3
56	56	1	95.1	18.2	93.5
57	57	1	106	19.2	93.6
58	58	1	97.2	19.7	92.8
59	59	1	95.2	17.8	93.7
60	60	1	89.9	18.8	93.1
61	61	1	97	17.7	92.5
62	62	1	115.5	16.9	93.1
63	63	1	106.9	19.1	92
64	64	1	104.3	17.8	91.7
65	65	1	107.7	20.8	94.3
66	66	1	101.1	14.4	93.3
67	67	1	92.5	16.8	94.2
68	68	1	98.6	20.2	92.8
69	69	1	99	18.1	92.6
70	70	1	101.2	18.1	93.6
71	71	1	106.7	18.5	92.6
72	72	1	101.4	18.1	92.6
73	73	1	85.5	19.8	92.5
74	74	1	104.1	17.6	93.2
75	75	1	96.5	13.9	93.2
76	76	1	105.3	15.8	92.4
77	77	1	102.9	19.2	93.2
78	78	1	98.2	16.8	92.8
79	79	1	97	11.7	93
80	80	1	90.7	24	93.6
81	81	1	95	19.7	93.3
82	82	1	93.6	17.7	93.1
83	83	1	95.9	17.7	93.4
84	84	1	106.5	19.2	93
85	85	1	87.3	18.8	92.6
86	86	1	96.4	19.6	92.4
87	87	1	97.5	21	92.7
88	88	1	107.2	16.9	93.6
89	89	1	90.8	18	92.7
90	90	1	96	16	92.8
91	91	1	99.9	18.3	93.5
92	92	1	99.9	21.1	93.6
93	93	1	105.9	18.4	92.3
94	94	1	100	18.2	93.2
95	95	1	91.7	14.3	93
96	96	1	93	20.9	92.7
97	97	1	93	17.3	94.1
98	98	1	105.5	19.3	93.3
99	99	1	104.9	15.1	92.1
100	100	1	92.3	13.7	94.1

import it into R Question: Does fertilisation improve the growth of sunflowers?

? Create specific hypotheses based on the above question and relevant variables (you should not test a variable that is not expected to change with fertilisation). ? Analyse any associations you would expect if this hypothesis were true (do not run tests that are irrelevant to your hypothesis). ? Use ggplot to graph the distribution and central tendency of variables you use in your analysis in a clean and clear format. ? Use ggplot to visualise the association from your analysis in a clean and clear format.

Introduction

[Concisely introduce the introduction and justification for your hypothesis]

Hypotheses:

H₀:

H_A:

Methods

[Which analyses is used. Concisely justify the use of the analysis]

Results

[Explain results clearly and include the appropriate statistics]

[Include clear graphs - large enough to be easily read]