Use the following research description and corresponding data set to perform the activities given in A-C. Could use JMP and show work.

Y = Complacency	X = Hours Dual Given	Hours Dual Given	Case Numbers
21	Experienced	2500	1
19	Experienced	2500	2
18	Fledgling	1500	3
24	Experienced	2000	4
13	Fledgling	1800	5
14	Fledgling	1050	6
18	Fledgling	1075	7
19	Fledgling	1300	8
12	Fledgling	574	9
16	Experienced	2500	10
27	Experienced	4500	11
17	Experienced	2500	12
16	Experienced	5381	13
15	Experienced	3000	14
21	Fledgling	1100	15
13	Experienced	8000	16
14	Fledgling	1800	17
17	Fledgling	1300	18
14	Fledgling	700	19
17	Experienced	5000	20
15	Experienced	4500	21
10	Fledgling	800	22
18	Experienced	12000	23
15	Fledgling	1200	24
24	Experienced	6000	25
13	Fledgling	250	26
16	Fledgling	20	27
16	Experienced	4000	28
15	Experienced	4500	29
14	Fledgling	1500	30
27	Experienced	2000	31
19	Experienced	4100	32
15	Experienced	10000	33
13	Experienced	6500	34
13	Experienced	3100	35
14	Experienced	12000	36
14	Experienced	2000	37
15	Experienced	4000	38
14	Experienced	5410	39
23	Experienced	4000	40
16	Experienced	5000	41
19	Experienced	3600	42
16	Fledgling	410	43
19	Fledgling	1500	44
14	Experienced	2400	45
18	Fledgling	268	46
25	Experienced	3000	47
20	Experienced	2000	48
14	Fledgling	50	49
19	Experienced	2500	50
9	Fledgling	1000	51
12	Fledgling	1500	52
22	Experienced	3000	53
14	Experienced	8000	54
15	Experienced	4000	55
17	Experienced	3000	56
15	Fledgling	750	57
20	Experienced	2500	58
15	Experienced	3000	59
8	Fledgling	1000	60
18	Experienced	3500	61
17	Experienced	2400	62
12	Fledgling	1000	63
16	Experienced	4000	64
15	Experienced	4200	65
17	Experienced	5000	66
17	Fledgling	1400	67
29	Experienced	2000	68
16	Fledgling	500	69
8	Fledgling	500	70
13	Experienced	7500	71
29	Experienced	5000	72
15	Fledgling	1500	73
18	Experienced	3500	74
16	Experienced	8000	75
17	Fledgling	1200	76
16	Experienced	5599	77
15	Fledgling	820	78
21	Experienced	2800	79
18	Experienced	20000	80
21	Fledgling	1500	81
19	Experienced	5300	82
19	Fledgling	1400	83
15	Experienced	4000	84
16	Fledgling	550	85
17	Fledgling	375	86
25	Experienced	2000	87
8	Fledgling	125	88
20	Fledgling	1400	89
16	Fledgling	1100	90
16	Fledgling	250	91
22	Experienced	2000	92
13	Fledgling	423	93
15	Fledgling	1165	94
18	Fledgling	1000	95
21	Experienced	2000	96
16	Experienced	2000	97
17	Experienced	2700	98
10	Fledgling	1000	99
13	Fledgling	1210	100
17	Fledgling	500	101
10	Fledgling	1100	102
8	Fledgling	800	103
16	Experienced	2000	104
17	Experienced	4000	105
16	Fledgling	400	106
14	Fledgling	1555	107
20	Experienced	2000	108
20	Fledgling	120	109
9	Fledgling	75	110
8	Fledgling	1000	111
13	Fledgling	700	112
19	Experienced	2900	113
10	Fledgling	10	114
17	Fledgling	800	115
16	Experienced	5477	116
18	Fledgling	1000	117
14	Fledgling	426	118
13	Fledgling	400	119
14	Experienced	5000	120
15	Experienced	2100	121
17	Fledgling	50	122
16	Experienced	5000	123
17	Fledgling	1000	124
12	Fledgling	3	125
24	Fledgling	500	126
18	Fledgling	1465	127
16	Fledgling	1000	128
13	Experienced	11000	129
12	Fledgling	1300	130
14	Fledgling	700	131
17	Experienced	10000	132
17	Fledgling	1950	133
18	Experienced	2500	134
17	Experienced	2300	135
11	Experienced	9900	136
17	Experienced	5000	137
12	Fledgling	600	138
17	Experienced	6000	139
14	Experienced	4000	140
18	Experienced	2100	141
14	Fledgling	950	142
10	Fledgling	1	143
7	Fledgling	100	144
18	Fledgling	1600	145
17	Experienced	3500	146
14	Experienced	5000	147
10	Experienced	2300	148
15	Fledgling	1900	149
11	Fledgling	200	150
13	Fledgling	500	151
17	Fledgling	650	152
18	Fledgling	1300	153
14	Fledgling	1900	154
25	Experienced	5000	155
14	Experienced	6900	156
9	Fledgling	66	157
15	Fledgling	1500	158
14	Fledgling	894	159
15	Fledgling	1750	160
15	Experienced	3000	161
17	Fledgling	625	162
17	Experienced	4800	163
11	Fledgling	200	164
14	Fledgling	1200	165
18	Experienced	2500	166
16	Experienced	12000	167
16	Fledgling	1800	168
15	Fledgling	50	169
18	Fledgling	600	170
12	Experienced	2500	171
19	Fledgling	1000	172
13	Fledgling	1005	173
14	Fledgling	500	174
12	Fledgling	1000	175
16	Fledgling	39	176
15	Fledgling	750	177
22	Experienced	5600	178
17	Fledgling	560	179
12	Experienced	3000	180
20	Fledgling	230	181
17	Experienced	3500	182
10	Fledgling	140	183
16	Fledgling	400	184
21	Experienced	6000	185
16	Fledgling	900	186
14	Fledgling	450	187
16	Experienced	2800	188
15	Fledgling	1000	189
29	Experienced	2600	190
18	Experienced	2500	191
19	Experienced	2000	192
11	Fledgling	1230	193
12	Experienced	4500	194
26	Experienced	6000	195
18	Fledgling	1200	196
10	Fledgling	800	197
16	Fledgling	400	198
16	Experienced	4000	199
13	Fledgling	1500	200
29	Experienced	7700	201
12	Fledgling	347	202
21	Experienced	2200	203
15	Experienced	6995	204
12	Experienced	4000	205
16	Experienced	3100	206
18	Fledgling	1800	207
28	Experienced	5900	208
9	Fledgling	500	209
11	Experienced	5000	210
16	Fledgling	1850	211
19	Fledgling	450	212
14	Experienced	3500	213
14	Experienced	3400	214
7	Fledgling	1200	215
18	Fledgling	860	216
14	Experienced	2500	217
11	Fledgling	450	218
15	Experienced	4000	219
13	Fledgling	45	220
21	Experienced	2500	221
22	Experienced	2000	222
12	Experienced	5000	223
12	Fledgling	1500	224
16	Experienced	3000	225
17	Fledgling	250	226
16	Experienced	2800	227
19	Fledgling	1000	228
15	Experienced	3700	229
15	Experienced	8000	230
16	Fledgling	150	231
20	Experienced	2000	232
15	Fledgling	1800	233
17	Experienced	2000	234
19	Fledgling	1000	235
24	Experienced	4024	236
19	Fledgling	200	237
11	Fledgling	400	238
16	Fledgling	500	239
16	Fledgling	900	240
10	Experienced	4000	241
16	Fledgling	900	242
22	Fledgling	600	243
16	Fledgling	1000	244
14	Experienced	9000	245
14	Fledgling	450	246
16	Experienced	2000	247
15	Fledgling	260	248
10	Fledgling	115	249
18	Experienced	5000	250
14	Fledgling	75	251
12	Fledgling	1523	252
11	Fledgling	500	253
15	Fledgling	100	254
20	Fledgling	1100	255
18	Experienced	3000	256
15	Fledgling	20	257
17	Fledgling	600	258
10	Fledgling	1100	259
16	Experienced	5000	260
16	Fledgling	1450	261

Consider a hypothetical research study inspired by Dunbar (2015), who examined factors that contributed to flight instructor complacency. For the current study, though, the objective is to examine the effect CFIs' acquired experience has on complacency. There are two sets of data. The first set was collected from a volunteer group of first-year CFIs, and the second set was collected from the same group of CFIs 5 years later to see if their tendency toward complacency as a flight instructor changed as a result of the experience they gained over the past 5 years. Complacency scores were measured on an 8-item Likert scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree. Thus, scores could range from 8 to 40, with higher scores indicating a higher tendency toward complacency as a flight instructor.

A. Pre-Data Analysis 1. Specify the research question 2. Specify the research hypothesis. 3. Determine the appropriate research methodology/design and explain why it is appropriate. 4. Conduct an a priori power analysis to determine the minimum sample size needed. Compare this result to the size of the given data set and explain what impact the size of the given sample will have on the results relative to the minimum size needed.

B. Data Analysis Analyze the given data set relative to a hypothesis test of the difference in two group means as presented in Section 11.4. Step 1: Formulate Hypotheses Step 2: Test Criteria (Test Statistic, Significance Level, df, Critical Value) Step 3: Check Assumptions (Independence and Normality) and Conduct Analysis Step 4: Make A Decision (Whether you reject or fail to reject based on computed value)

C. Post-Data Analysis 1. Determine and interpret the effect size, Cohen's estimated d. 2. Determine and interpret the 95% confidence interval, including its precision and AIPE. 3. Determine and interpret the power of the study from a post-hoc perspective. (In order to answer this question, please fill out the following table (2 points) and interpret what the Power means