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Assuming the data are normal, what is the probability the blade weights from this process will exceed 5.20? What is the probability that weights will

  • Assuming the data are normal, what is the probability the blade weights from this process will exceed 5.20?
  • What is the probability that weights will be less than 4.80?
  • What is the actual percent of weights that exceed 5.20 and are less than 4.80 from the data in the worksheet?
  • Is the process stable over time? That is, are the any apparent changes in the pattern of the blade weights?
Blade Weight 


Sample Weight
1 4.88
2 4.92
3 5.02
4 4.97
5 5.00
6 4.99
7 4.86
8 5.07
9 5.04
10 4.87
11 4.77
12 5.14
13 5.04
14 5.00
15 4.88
16 4.91
17 5.09
18 4.97
19 4.98
20 5.07
21 5.03
22 5.12
23 5.08
24 4.86
25 5.11
26 4.92
27 5.18
28 4.93
29 5.12
30 5.08
31 4.75
32 4.99
33 5.00
34 4.91
35 5.18
36 4.95
37 4.63
38 4.89
39 5.11
40 5.05
41 5.03
42 5.02
43 4.96
44 5.04
45 4.93
46 5.06
47 5.07
48 5.00
49 5.03
50 5.00
51 4.95
52 4.99
53 5.02
54 4.90
55 5.10
56 5.01
57 4.84
58 5.01
59 4.88
60 4.97
61 4.97
62 5.06
63 5.06
64 5.04
65 4.87
66 5.00
67 5.03
68 5.02
69 5.02
70 5.06
71 5.21
72 5.09
73 4.97
74 5.01
75 4.90
76 4.89
77 4.93
78 5.16
79 5.02
80 5.01
81 5.10
82 5.03
83 5.07
84 4.92
85 5.08
86 4.96
87 4.74
88 4.91
89 5.12
90 5.00
91 4.93
92 4.88
93 4.88
94 4.81
95 5.16
96 5.03
97 4.87
98 5.09
99 4.94
100 5.08
101 4.97
102 5.23
103 5.12
104 5.09
105 5.12
106 4.93
107 4.79
108 5.10
109 5.12
110 4.86
111 5.00
112 4.94
113 4.95
114 4.95
115 4.87
116 5.09
117 4.94
118 5.01
119 5.04
120 5.05
121 5.05
122 4.97
123 4.96
124 4.96
125 4.99
126 5.04
127 4.91
128 5.19
129 5.03
130 4.99
131 5.12
132 4.97
133 4.88
134 5.07
135 5.01
136 4.89
137 4.95
138 5.09
139 5.09
140 4.89
141 4.93
142 4.85
143 5.03
144 4.92
145 5.09
146 4.99
147 4.92
148 4.87
149 4.90
150 5.02
151 5.21
152 5.02
153 4.9
154 5
155 5.16
156 5.03
157 4.96
158 5.04
159 4.98
160 5.07
161 5.02
162 5.08
163 4.85
164 4.9
165 4.97
166 5.09
167 4.89
168 4.87
169 5.01
170 4.97
171 5.87
172 5.33
173 5.11
174 5.07
175 4.93
176 4.99
177 5.04
178 5.14
179 5.09
180 5.06
181 4.85
182 4.93
183 5.04
184 5.09
185 5.07
186 4.99
187 5.01
188 4.88
189 4.93
190 5.1
191 4.94
192 4.88
193 4.89
194 4.89
195 4.85
196 4.82
197 5.02
198 4.9
199 4.73
200 5.04
201 5.07
202 4.81
203 5.04
204 5.03
205 5.01
206 5.14
207 5.12
208 4.89
209 4.91
210 4.97
211 4.98
212 5.01
213 5.01
214 5.09
215 4.93
216 5.04
217 5.11
218 5.07
219 4.95
220 4.86
221 5.13
222 4.95
223 5.22
224 4.81
225 4.91
226 4.95
227 4.94
228 4.81
229 5.11
230 4.81
231 4.97
232 5.07
233 5.03
234 4.81
235 4.95
236 4.89
237 5.08
238 4.93
239 4.99
240 4.94
241 5.13
242 5.02
243 5.07
244 4.82
245 5.03
246 4.85
247 4.89
248 4.82
249 5.18
250 5.02
251 5.05
252 4.88
253 5.08
254 4.98
255 5.02
256 4.99
257 5.02
258 5.03
259 5.02
260 5.07
261 4.95
262 4.95
263 4.94
264 5.12
265 5.08
266 4.91
267 4.96
268 4.96
269 4.94
270 5.19
271 4.91
272 5.01
273 4.93
274 5.05
275 4.96
276 4.92
277 4.95
278 5.08
279 4.97
280 5.04
281 4.94
282 4.98
283 5.03
284 5.05
285 4.91
286 5.09
287 5.21
288 4.87
289 5.02
290 4.81
291 4.96
292 5.06
293 4.86
294 4.96
295 4.99
296 4.94
297 5.06
298 4.95
299 5.02
300 5.01
301 5.04
302 5.01
303 5.02
304 5.03
305 5.18
306 5.08
307 5.14
308 4.92
309 4.97
310 4.92
311 5.14
312 4.92
313 5.03
314 4.98
315 4.76
316 4.94
317 4.92
318 4.91
319 4.96
320 5.02
321 5.13
322 5.13
323 4.92
324 4.98
325 4.89
326 4.88
327 5.11
328 5.11
329 5.08
330 5.03
331 4.94
332 4.88
333 4.91
334 4.86
335 4.89
336 4.91
337 4.87
338 4.93
339 5.14
340 4.87
341 4.98
342 4.88
343 4.88
344 5.01
345 4.93
346 4.93
347 4.99
348 4.91
349 4.96
350 4.78

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