Question

In: Statistics and Probability

Science MajorsA bank has collected data on the opening balances of new home loans issued in...

Science MajorsA bank has collected data on the opening balances of new home loans issued in the final quarter of 2018. The dataset of 200 observations is contained in the file: Home Loans (THA 1).xlsx. Based on the data, answer the following questions.

By comparing Q2 and the sample mean comment on the skewness of the data. Explain your answer briefly.

Obs Home Loan, Open. Bal.
1 544,723
2 686,461
3 422,582
4 373,228
5 369,600
6 353,011
7 259,339
8 236,532
9 496,713
10 1,052,824
11 454,077
12 806,701
13 482,691
14 920,000
15 444,720
16 780,000
17 377,858
18 366,611
19 283,918
20 216,536
21 291,182
22 776,145
23 375,723
24 403,552
25 342,989
26 191,632
27 800,350
28 268,200
29 519,466
30 293,192
31 414,739
32 352,222
33 258,587
34 228,633
35 329,476
36 324,013
37 239,375
38 489,659
39 279,174
40 457,456
41 409,731
42 1,332,051
43 367,738
44 331,450
45 364,676
46 472,790
47 332,199
48 525,831
49 393,803
50 291,081
51 469,585
52 363,128
53 360,221
54 290,435
55 452,734
56 493,088
57 362,044
58 232,913
59 367,991
60 451,662
61 495,394
62 473,753
63 245,583
64 212,484
65 495,633
66 348,539
67 380,756
68 395,000
69 554,626
70 346,094
71 482,000
72 279,040
73 431,405
74 712,740
75 479,868
76 632,612
77 334,365
78 290,458
79 583,572
80 311,145
81 406,683
82 234,646
83 236,695
84 239,475
85 877,764
86 559,089
87 278,475
88 1,005,103
89 341,572
90 235,907
91 347,033
92 452,277
93 542,540
94 859,707
95 426,113
96 451,640
97 275,643
98 461,818
99 273,911
100 332,744
101 625,000
102 313,953
103 246,979
104 556,798
105 223,566
106 434,694
107 330,051
108 528,349
109 296,459
110 673,742
111 255,977
112 497,893
113 173,452
114 364,564
115 423,801
116 412,745
117 344,350
118 375,594
119 576,789
120 384,224
121 454,949
122 429,826
123 372,453
124 375,593
125 502,794
126 426,347
127 448,161
128 223,132
129 459,372
130 522,012
131 297,186
132 343,947
133 648,363
134 121,147
135 288,658
136 269,492
137 1,310,311
138 167,636
139 377,545
140 564,538
141 1,113,770
142 442,390
143 258,433
144 433,609
145 256,726
146 249,058
147 258,709
148 244,828
149 581,815
150 344,052
151 331,641
152 303,224
153 328,384
154 187,425
155 312,951
156 476,582
157 951,336
158 284,487
159 400,050
160 536,902
161 439,255
162 266,541
163 263,611
164 442,662
165 557,690
166 375,426
167 337,402
168 240,806
169 367,070
170 621,110
171 317,486
172 266,651
173 466,251
174 304,040
175 297,971
176 199,448
177 340,568
178 236,054
179 500,615
180 187,737
181 330,010
182 1,340,394
183 365,058
184 396,187
185 375,523
186 435,712
187 426,242
188 407,575
189 301,040
190 380,631
191 280,846
192 393,315
193 217,536
194 457,019
195 180,584
196 636,068
197 247,106
198 1,458,183
199 434,295
200 462,356

Solutions

Expert Solution

Obs sorted data
1 121,147
2 167,636
3 173,452
4 180,584
5 187,425
6 187,737
7 191,632
8 199,448
9 212,484
10 216,536
11 217,536
12 223,132
13 223,566
14 228,633
15 232,913
16 234,646
17 235,907
18 236,054
19 236,532
20 236,695
21 239,375
22 239,475
23 240,806
24 244,828
25 245,583
26 246,979
27 247,106
28 249,058
29 255,977
30 256,726
31 258,433
32 258,587
33 258,709
34 259,339
35 263,611
36 266,541
37 266,651
38 268,200
39 269,492
40 273,911
41 275,643
42 278,475
43 279,040
44 279,174
45 280,846
46 283,918
47 284,487
48 288,658
49 290,435
50 290,458
51 291,081
52 291,182
53 293,192
54 296,459
55 297,186
56 297,971
57 301,040
58 303,224
59 304,040
60 311,145
61 312,951
62 313,953
63 317,486
64 324,013
65 328,384
66 329,476
67 330,010
68 330,051
69 331,450
70 331,641
71 332,199
72 332,744
73 334,365
74 337,402
75 340,568
76 341,572
77 342,989
78 343,947
79 344,052
80 344,350
81 346,094
82 347,033
83 348,539
84 352,222
85 353,011
86 360,221
87 362,044
88 363,128
89 364,564
90 364,676
91 365,058
92 366,611
93 367,070
94 367,738
95 367,991
96 369,600
97 372,453
98 373,228
99 375,426
100 375,523
101 375,593
102 375,594
103 375,723
104 377,545
105 377,858
106 380,631
107 380,756
108 384,224
109 393,315
110 393,803
111 395,000
112 396,187
113 400,050
114 403,552
115 406,683
116 407,575
117 409,731
118 412,745
119 414,739
120 422,582
121 423,801
122 426,113
123 426,242
124 426,347
125 429,826
126 431,405
127 433,609
128 434,295
129 434,694
130 435,712
131 439,255
132 442,390
133 442,662
134 444,720
135 448,161
136 451,640
137 451,662
138 452,277
139 452,734
140 454,077
141 454,949
142 457,019
143 457,456
144 459,372
145 461,818
146 462,356
147 466,251
148 469,585
149 472,790
150 473,753
151 476,582
152 479,868
153 482,000
154 482,691
155 489,659
156 493,088
157 495,394
158 495,633
159 496,713
160 497,893
161 500,615
162 502,794
163 519,466
164 522,012
165 525,831
166 528,349
167 536,902
168 542,540
169 544,723
170 554,626
171 556,798
172 557,690
173 559,089
174 564,538
175 576,789
176 581,815
177 583,572
178 621,110
179 625,000
180 632,612
181 636,068
182 648,363
183 673,742
184 686,461
185 712,740
186 776,145
187 780,000
188 800,350
189 806,701
190 859,707
191 877,764
192 920,000
193 951,336
194 1,005,103
195 1,052,824
196 1,113,770
197 1,310,311
198 1,332,051
199 1,340,394
200 1,458,183

total sum =ΣX=   85045831   ,   n=   200
mean =    ΣX/n =    425229.155  

Q2 , Median=0.5(n+1)th value =    0.5*201 = 100.5 value of sorted data = 0.5*(100th +101th value ) =   375558      
   

-----------------------

mean>median , data is right skewed

mean <median ,data is left skewed

mean=median , data is symmetric

as we can that mean is greater than median , it means, data is not symmetric

It is skewed to right.


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