2.5 eda problems data file

29
computers sold over 27 days 8 16 29 38 40 41 95 86 75 67 63 58 13 25 30 32 37 44 82 78 47 49 61 55 54 51 26

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computers sold over 27 days

8

16

29

38

40

41

95

86

75

67

63

58

13

25

30

32

37

44

82

78

47

49

61

55

54

51

26

Time taken to attend calls by a courier

13

20

22

11

17

15

17

17

19

25

10

10

9

21

13

17

14

17

29

26

15

23

12

6

7

17

19

13

12

18

6

19

24

16

14

4

15

10

21

20

hours studied in a month

130

150

160

275

175

180

280

285

180

180

205

385

155

190

195

Div A Div B

24 32

20 35

35 45

30 35

46 35

40 30

50 33

154 143 148 139 143 147 153

162 136 147 144 143 139 142

143 156 151 164 157 149 146

Apritude test

340 610 490 650 540 680 560 730

280 600 440 630 520 660 560 710

580 740

580 740

The auidt time for 20 customers in hours is tabulated. Analyze and Interpret

Audit Time

12

15

20

22

14

14

15

27

21

18

19

18

22

33

16

18

17

23

28

13

8

movies

per month

no of

students

1 30

2 25

3 15

4 30

age range

no of

employee

s

20-30 20

30-40 30

40-50 40

50-60 10

start of yr

2005 1000 13%

2006 22%

2007 12%

2008 -5%

2009 -13%

GraduateStarting Salary

1 3450

2 3550

3 3650

4 3480

5 3355

6 3310

7 3490

8 3730

9 3540

10 3925

11 352012 3480

Week No. of Commercials Sales Volume

1 2 50

2 5 57

3 1 41

4 3 54

5 4 54

6 1 38

7 5 63

8 3 48

9 4 59

10 2 46

Given below is the ranking of a restaurant and the money spent by300 customers

Summarize and interpret the data

Customers Quality Rating Meal Price ($)

1 Good 18

2 Very Good 22

3 Good 28

4 Excellent 38

5 Very Good 33

6 Good 28

7 Very Good 19

8 Very Good 11

9 Very Good 23

10 Good 13

11 Very Good 33

12 Very Good 44

13 Excellent 42

14 Excellent 34

15 Good 25

16 Good 22

17 Good 26

18 Excellent 17

19 Very Good 30

20 Good 19

21 Very Good 33

22 Very Good 22

23 Excellent 32

24 Excellent 33

25 Very Good 34

26 Very Good 38

27 Good 27

28 Good 27

29 Very Good 26

30 Very Good 34

31 Very Good 35

32 Good 25

33 Excellent 44

34 Good 26

35 Excellent 47

36 Good 10

37 Excellent 35

38 Good 12

39 Good 15

40 Excellent 27

41 Good 19

42 Excellent 45

43 Very Good 32

44 Very Good 14

45 Excellent 40

46 Excellent 31

47 Very Good 17

48 Very Good 20

49 Excellent 36

50 Excellent 24

51 Very Good 38

52 Good 10

53 Very Good 10

54 Excellent 21

55 Very Good 34

56 Very Good 31

57 Excellent 25

58 Good 22

59 Very Good 28

60 Good 10

61 Very Good 27

62 Excellent 41

63 Very Good 35

64 Good 11

65 Good 18

66 Excellent 40

67 Very Good 48

68 Excellent 26

69 Very Good 12

70 Good 20

71 Very Good 38

72 Very Good 36

73 Very Good 37

74 Very Good 24

75 Very Good 18

76 Very Good 34

77 Very Good 28

78 Very Good 25

79 Very Good 25

80 Very Good 30

81 Very Good 21

82 Excellent 28

83 Very Good 16

84 Good 23

85 Excellent 46

86 Very Good 14

87 Good 11

88 Very Good 20

89 Very Good 32

90 Excellent 20

91 Very Good 24

92 Very Good 14

93 Very Good 24

94 Excellent 33

95 Good 23

96 Very Good 28

97 Very Good 17

98 Excellent 28

99 Very Good 16

100 Excellent 31

101 Very Good 27

102 Excellent 30

103 Good 33

104 Excellent 32

105 Good 19

106 Very Good 25

107 Very Good 25

108 Good 20

109 Excellent 37

110 Very Good 27

111 Very Good 28

112 Good 20

113 Very Good 31

114 Very Good 26

115 Very Good 38

116 Good 15

117 Good 25

118 Very Good 40

119 Very Good 35

120 Good 20

121 Very Good 23

122 Very Good 13

123 Good 20

124 Good 20

125 Good 10

126 Very Good 17

127 Very Good 20

128 Very Good 21

129 Excellent 35

130 Excellent 41

131 Good 28

132 Excellent 30

133 Very Good 31

134 Excellent 33

135 Excellent 32

136 Good 18

137 Good 27

138 Excellent 38

139 Very Good 23

140 Very Good 32

141 Very Good 25

142 Very Good 28

143 Good 19

144 Very Good 14

145 Very Good 19

146 Very Good 18

147 Very Good 16

148 Very Good 42

149 Very Good 12

150 Good 14

151 Very Good 26

152 Good 15

153 Very Good 14

154 Good 20

155 Very Good 30

156 Good 16

157 Good 21

158 Excellent 35

159 Very Good 30

160 Very Good 31

161 Very Good 28

162 Very Good 19

163 Excellent 43

164 Good 17

165 Excellent 27

166 Excellent 32

167 Excellent 36

168 Very Good 21

169 Very Good 11

170 Excellent 48

171 Very Good 13

172 Good 19

173 Very Good 35

174 Very Good 28

175 Good 13

176 Very Good 32

177 Excellent 27

178 Very Good 33

179 Very Good 37

180 Very Good 28

181 Good 24

182 Good 10

183 Very Good 36

184 Very Good 37

185 Very Good 25

186 Very Good 11

187 Good 11

188 Very Good 11

189 Good 10

190 Good 29

191 Very Good 14

192 Very Good 21

193 Good 28

194 Very Good 42

195 Very Good 30

196 Excellent 41

197 Good 22

198 Good 23

199 Very Good 27

200 Very Good 13

201 Very Good 28

202 Good 12

203 Excellent 23

204 Very Good 30

205 Good 17

206 Good 20

207 Good 20

208 Good 26

209 Good 18

210 Very Good 13

211 Very Good 25

212 Very Good 22

213 Very Good 27

214 Very Good 21

215 Very Good 32

216 Very Good 16

217 Very Good 20

218 Good 27

219 Excellent 44

220 Very Good 35

221 Very Good 21

222 Very Good 30

223 Good 23

224 Good 19

225 Very Good 18

226 Excellent 36

227 Good 29

228 Very Good 20

229 Good 17

230 Very Good 45

231 Good 20

232 Excellent 41

233 Good 26

234 Good 16

235 Very Good 23

236 Excellent 31

237 Very Good 23

238 Very Good 20

239 Very Good 38

240 Good 17

241 Excellent 46

242 Very Good 26

243 Very Good 24

244 Very Good 21

245 Excellent 30

246 Excellent 13

247 Excellent 23

248 Very Good 25

249 Very Good 28

250 Very Good 13

251 Very Good 27

252 Very Good 15

253 Good 11

254 Excellent 40

255 Good 28

256 Excellent 46

257 Very Good 32

258 Good 12

259 Good 37

260 Excellent 22

261 Excellent 42

262 Very Good 21

263 Excellent 32

264 Excellent 34

265 Very Good 37

266 Excellent 20

267 Very Good 21

268 Very Good 16

269 Excellent 47

270 Very Good 33

271 Excellent 48

272 Very Good 33

273 Very Good 25

274 Very Good 34

275 Very Good 20

276 Excellent 36

277 Excellent 40

278 Good 13

279 Very Good 12

280 Very Good 27

281 Very Good 20

282 Excellent 30

283 Good 29

284 Very Good 22

285 Good 27

286 Very Good 20

287 Excellent 37

288 Very Good 27

289 Good 23

290 Good 16

291 Very Good 23

292 Very Good 24

293 Excellent 45

294 Good 14

295 Good 18

296 Good 17

297 Good 16

298 Good 15

299 Very Good 38

300 Very Good 31

Column1

Sales in a shop 1-Dec 12

2-Dec 11 Mean 27

3-Dec 27 Standard Error2.440599

4-Dec 7 Median 27

5-Dec 20 Mode 27

6-Dec 1 Standard Deviation11.7047

8-Dec 22 Sample Variance 137

9-Dec 32 Kurtosis 1.524454

10-Dec 20 Skewness 0.239923

11-Dec 27 Range 56

12-Dec 21 Minimum 1

13-Dec 19 Maximum 57

15-Dec 13 Sum 621

16-Dec 16 Count 23

17-Dec 20

18-Dec 28

19-Dec 4

20-Dec 40

22-Dec 27

23-Dec 40

24-Dec 30

25-Dec 57

26-Dec 24

1 1 0.041667 -1.73166 1

4 2 0.083333 -1.38299 4

7 3 0.125 -1.15035 7

11 4 0.166667 -0.96742 11

12 5 0.208333 -0.81222 12

13 6 0.25 -0.67449 13

16 7 0.291667 -0.54852 16

19 8 0.333333 -0.43073 19

20 9 0.375 -0.31864 20

20 10 0.416667 -0.21043 20

20 11 0.458333 -0.10463 20

21 12 0.5 0 21

22 13 0.541667 0.104633 22

24 14 0.583333 0.210428 24

27 15 0.625 0.318639 27

27 16 0.666667 0.430727 27

27 17 0.708333 0.548522 27

28 18 0.75 0.67449 28

30 19 0.791667 0.812218 30

32 20 0.833333 0.967422 32

40 21 0.875 1.150349 40

40 22 0.916667 1.382994 40

57 23 0.958333 1.731664 57

-4

Column1

<10 10 3

Oct-20 20 8

20-30 30 8

30-40 40 3

40-50 50 0

50-60 60 1

y = 13.582x + 22.522 R² = 0.9424 36

46

56

y = 13.582x + 22.522 R² = 0.9424

-4

6

16

26

36

-3 -2 -1 0 1 2 3 4

Series1

Linear (Series1)

Mine A Mine B

34 23

32 24

35 28

37 29

41 32

42 34

43 35

45 37

46 38

45 40

48 43

49 44

51 47

52 48

53 49

60 50

73 51

76 52

85 59

Airports Price

Abu Dhabi 399

Dubai 570

Bangkok 616

Seoul 642

Hong Kong 616

Singapore 940

New York 515

Amsterdam 540

Frankfurt 554

Zurich 562

Paris 560

Copenhagen 548

London 627

Rome 612

Returns

12.5

13

14.8

11

16.7

9

8.3

-1.2

3.9

15.5

16.2

18

11.6

10

9.5

4 The preference of 30 households among TV Serials is given below.

Summarize and interpret the data

Respondent Prefers

1 Despirate Housewives

2 Without a Trace

3 CSI

4 Law & Order

5 CSI

6 Despirate Housewives

7 Despirate Housewives

8 Law & Order

9 Law & Order

10 CSI

11 CSI

12 CSI

13 Despirate Housewives

14 Law & Order

15 Despirate Housewives

16 Without a Trace

17 CSI

18 CSI

19 CSI

20 Despirate Housewives

21 Despirate Housewives

22 Law & Order

23 Without a Trace

24 Law & Order

25 Despirate Housewives

26 CSI

27 Without a Trace

28 CSI

29 Without a Trace

30 CSI

31 Without a Trace

32 CSI

33 CSI

34 Law & Order

35 Without a Trace

36 Law & Order

37 Without a Trace

38 CSI

39 Without a Trace

40 Law & Order

Preferred Television Show

41 CSI

42 Despirate Housewives

43 Despirate Housewives

44 CSI

45 Despirate Housewives

46 CSI

47 Despirate Housewives

48 Despirate Housewives

49 Law & Order

50 CSI