Questions
A lead inspector at ElectroTech, an electronics assembly shop, wants to convince management that it takes...

A lead inspector at ElectroTech, an electronics assembly shop, wants to convince management that it takes longer, on a per-component basis, to inspect large devices with many components than it does to inspect small devices because it is difficult to keep track of which components have already been inspected. To prove her point, she has collected data on the inspection time (Time in seconds) and the number of components per device (Components) from the last 25 devices. A portion of the data is shown in the accompanying table.

Components Inspection Time
33 85
12 50
9 29
17 59
16 50
12 41
25 72
43 98
7 21
12 41
20 64
7 25
30 80
11 49
11 30
20 63
19 53
19 61
24 73
44 102
17 59
13 45
21 67
11 47
24 69

a-1. Estimate the linear, quadratic, and cubic regression models with Time as the response variable. Report the Adjusted R2 for each model. (Round answers to 4 decimal places.)



a-2. Based on adjusted-R2 only, which model has the best fit?

  • Quadratic model

  • Linear model

  • Cubic model



b. Use the best model to predict the time required to inspect a device with 40 components. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.)

In: Statistics and Probability

A sample of n = 6 has a mean of M = 32. What is åX?...

  1. A sample of n = 6 has a mean of M = 32. What is åX?

  1. Find the mean for the following frequency distribution:

X

f

10

1

9

2

8

4

7

3

6

2
  1. For the following scores, find the following:
    1. Mean
    2. Median
    3. Mode
    4. Based on the three values for central tendency, what is the most likely shape for this distribution of scores (symmetrical, positively skewed, or negatively skewed)?

26        40        21        17        48        31        37            22

24        13        30        28        29        19        44            34

35        20        7          42        39        31        40            11

  1. What is the range for the set of scores in #3 above?

  1. Given the following set of scores, find the variance and standard deviation: 5, 2, 8.

  1. Calculate the following for this set of scores: 2, 10, 1, 3, 4.
    1. SS
    2. Variance and standard deviation, if this set of scores represents the entire population
    3. Variance and standard deviation, if this set of scores represents a sample of the entire population

  1. Find the degrees of freedom (df) for the following samples:
    1. 15, 14, 9, 10, 11, 13
    2. 3, 5, 8, 14

In: Statistics and Probability

Palencia Paints Corporation has a target capital structure of 35% debt and 65% common equity, with...

Palencia Paints Corporation has a target capital structure of 35% debt and 65% common equity, with no preferred stock. Its before-tax cost of debt is 9%, and its marginal tax rate is 40%. The current stock price is P0 = $28.50. The last dividend was D0 = $3.00, and it is expected to grow at a 7% constant rate. What is its cost of common equity and its WACC? Round your answers to two decimal places. Do not round your intermediate calculations.

In: Finance

Michael and Mary are great friends. They like to play games with numbers. This time, Michael...

Michael and Mary are great friends. They like to play games with numbers. This time, Michael has given Mary a list of numbers and given him the task of determining if it is possible to choose a subset of them such that they sum is equal to another given number.

Build an algorithm using dynamic programming to help Mary with his problem.

INPUT

  • The first line corresponds to N, the amount of numbers given by Michael
  • The next N lines contain each of the numbers
  • The last line contains the desired sum

OUTPUT

  • True or False (Whether is possible to obtain the desired sum or not)

Sample Input 1:

39
15
88
3
43
40
100
45
34
89
10
17
70
14
63
92
24
64
6
42
12
81
34
38
63
35
77
67
80
5
58
46
17
67
21
73
10
49
21
54
128

Sample Output 1:

True

Sample Input 2:

30
72
21
33
6
72
53
71
28
66
92
90
73
33
10
70
25
96
82
85
53
58
61
76
20
85
4
1
7
34
76
670

Sample Output 2:

True

Sample Input 3:

35
8
63
89
6
83
78
31
5
46
95
59
73
98
47
43
16
44
50
32
5
77
23
30
44
69
94
24
14
50
99
82
90
1
21
25
557

Sample Output 3:

True

Sample Input 4:

38
2
24
70
51
24
51
98
9
81
55
11
50
94
42
91
94
8
64
86
20
25
34
100
65
30
49
99
47
63
20
3
61
5
100
86
22
94
60
1766

Sample Output 4:

True

Sample Input 5:

21
29
53
31
74
21
57
35
67
10
86
60
46
17
52
38
21
14
51
26
12
86
647

Sample Output 5:

True

Write a program, test using stdin → stdout


**Note: it would be very useful if the code is solved in Python or C++, Thanks**

In: Computer Science

In January 2003, the FAA ordered that passengers be weighed before boarding 10- to 19-seat passenger...

In January 2003, the FAA ordered that passengers be weighed before boarding 10- to 19-seat passenger planes. The order was instituted in response to a crash that occurred on January 8, 2003, in Charlotte, North Carolina, in which all 21 passengers, including the pilot and co-pilot,of a 19-seat Beech 1900 turboprop died. One possible cause of the crash was that the plane may have been carrying too much weight. The airlines were asked to weigh adult passengers and carryon bags randomly over a one-month period to estimate the mean weight per passenger (including luggage). A total of 426 people and their luggage were weighed, and the sample data are contained in a data file called FAA.
Required Task: 1. Indicate what sample size would be required if the margin of error in the estimate for the mean of all passengers is to be reduced by half.

Weight Gender Age
197 Male 55
171 Male 47
212 Male 62
239 Male 49
237 Male 36
252 Male 47
146 Male 46
199 Male 47
235 Male 52
176 Male 62
186 Male 56
159 Male 51
155 Male 67
179 Male 51
184 Male 56
148 Male 44
190 Male 53
194 Male 52
209 Male 55
195 Male 50
196 Male 51
195 Male 54
241 Male 47
203 Male 59
200 Male 57
191 Male 58
258 Male 52
228 Male 57
269 Male 50
187 Male 54
250 Male 42
161 Male 53
220 Male 50
229 Male 61
257 Male 42
203 Male 53
191 Male 48
223 Male 50
195 Male 44
225 Male 53
166 Male 64
182 Male 52
164 Male 65
195 Male 47
204 Male 51
206 Male 49
196 Male 55
264 Male 47
158 Male 61
185 Male 52
135 Male 70
244 Male 52
170 Male 50
187 Male 53
225 Male 55
218 Male 58
229 Male 49
221 Male 48
168 Male 53
175 Male 68
224 Male 45
214 Male 51
180 Male 56
198 Male 56
209 Male 53
220 Male 56
209 Male 47
180 Male 56
256 Male 53
218 Male 59
207 Male 54
227 Male 58
228 Male 48
188 Male 65
180 Male 55
235 Male 44
173 Male 47
163 Male 48
224 Male 46
222 Male 47
265 Male 49
244 Male 65
240 Male 55
208 Male 43
205 Male 56
217 Male 46
204 Male 60
177 Male 49
157 Male 49
227 Male 55
217 Male 59
222 Male 40
211 Male 43
177 Male 51
238 Male 55
197 Male 73
182 Male 48
183 Male 45
193 Male 61
193 Male 49
191 Male 42
228 Male 46
219 Male 43
189 Male 61
240 Male 62
157 Male 55
220 Male 43
202 Male 66
206 Male 57
187 Male 47
190 Male 62
228 Male 50
227 Male 50
217 Male 51
224 Male 65
249 Male 46
213 Male 51
221 Male 54
255 Male 51
196 Male 49
233 Male 53
209 Male 41
236 Male 62
201 Male 53
184 Male 48
234 Male 51
189 Male 62
219 Male 38
220 Male 60
196 Male 44
193 Male 40
168 Male 55
259 Male 60
190 Male 45
207 Male 50
199 Male 55
282 Male 56
239 Male 50
229 Male 47
241 Male 52
210 Male 54
220 Male 62
198 Male 34
172 Male 49
239 Male 59
197 Male 52
170 Male 60
226 Male 53
226 Male 54
217 Male 56
216 Male 54
188 Male 47
225 Male 53
219 Male 54
234 Male 51
130 Male 56
218 Male 58
245 Male 56
158 Male 43
206 Male 55
242 Male 56
251 Male 56
211 Male 40
209 Male 38
255 Male 59
204 Male 72
187 Male 54
229 Male 44
205 Male 53
233 Male 57
217 Male 46
244 Male 42
202 Male 73
179 Male 58
163 Male 50
136 Male 59
208 Male 56
213 Male 57
205 Male 57
210 Male 54
212 Male 57
245 Male 54
207 Male 60
175 Male 48
167 Male 50
210 Male 65
231 Male 45
164 Male 44
189 Male 48
219 Male 46
199 Male 61
196 Male 54
201 Male 52
193 Male 48
183 Male 57
222 Male 61
207 Male 61
239 Male 49
212 Male 54
207 Male 59
211 Male 48
211 Male 47
205 Male 48
172 Male 53
211 Male 66
209 Male 49
225 Male 44
185 Male 51
222 Male 45
211 Male 46
208 Male 46
228 Male 51
254 Male 50
170 Male 50
172 Male 58
220 Male 60
237 Male 54
181 Male 58
147 Male 55
181 Male 43
210 Male 36
217 Male 48
178 Male 58
182 Male 56
217 Male 43
208 Male 55
190 Male 41
208 Male 60
180 Male 60
181 Male 53
233 Male 55
249 Male 59
187 Male 49
200 Male 47
208 Male 51
255 Male 61
221 Male 52
250 Male 56
210 Male 40
247 Male 58
188 Male 48
179 Male 67
237 Male 47
230 Male 49
158 Male 64
239 Male 57
200 Male 53
174 Male 49
154 Male 35
183 Male 45
218 Male 57
230 Male 65
203 Male 53
204 Male 46
211 Male 60
195 Male 50
230 Male 48
192 Male 49
268 Male 60
225 Male 37
221 Male 61
179 Male 47
229 Male 45
244 Male 48
185 Male 58
197 Male 65
169 Male 55
242 Male 38
233 Male 63
210 Male 39
146 Male 49
219 Male 65
219 Male 54
238 Male 44
179 Male 52
238 Male 68
190 Male 48
185 Male 60
158 Male 41
242 Male 48
179 Male 50
247 Male 46
173 Male 52
194 Male 62
170 Male 40
248 Male 34
206 Male 56
214 Male 44
231 Male 55
258 Male 46
203 Male 59
177 Male 47
190 Male 47
228 Male 44
229 Male 44
219 Male 59
165 Male 62
167 Male 51
201 Male 56
188 Male 53
188 Male 53
229 Male 43
182 Male 59
202 Male 57
199 Male 59
246 Male 56
169 Male 49
180 Male 50
200 Male 54
176 Male 43
166 Male 53
147 Male 35
221 Male 46
196 Male 59
216 Male 44
150 Male 48
237 Male 47
152 Male 59
191 Male 45
179 Male 49
202 Male 49
209 Male 46
252 Male 52
191 Male 53
184 Male 27
185 Male 33
221 Male 51
240 Male 35
166 Male 33
231 Male 46
248 Male 30
187 Male 38
207 Male 40
183 Male 45
224 Male 46
211 Male 42
206 Male 54
177 Male 52
197 Male 29
225 Male 35
205 Male 45
232 Male 30
178 Male 27
225 Male 41
239 Male 28
146 Female 47
131 Female 45
139 Female 37
152 Female 45
139 Female 42
117 Female 37
123 Female 31
138 Female 36
109 Female 36
128 Female 35
123 Female 47
121 Female 32
171 Female 37
127 Female 48
96 Female 36
139 Female 37
130 Female 45
127 Female 28
160 Female 45
152 Female 48
164 Female 29
90 Female 39
107 Female 32
134 Female 27
108 Female 36
110 Female 33
114 Female 48
143 Female 31
168 Female 36
140 Female 43
135 Female 40
148 Female 43
160 Female 44
102 Female 37
154 Female 37
128 Female 37
144 Female 44
145 Female 36
120 Female 24
159 Female 47
135 Female 43
127 Female 55
136 Female 46
147 Female 41
157 Female 58
112 Female 57
133 Female 47
103 Female 43
156 Female 45
122 Female 52
159 Female 47
108 Female 73
171 Female 50
122 Female 55
163 Female 47
148 Female 53
159 Female 48
127 Female 50
132 Female 53
136 Female 55
123 Female 62
135 Female 55
128 Female 50
142 Female 60
116 Female 48
113 Female 48
124 Female 55
122 Female 48
155 Female 57
149 Female 49
113 Female 52
139 Female 59
182 Female 44
137 Female 70
115 Female 61
115 Female 58
152 Female 48
116 Female 58
93 Female 51
140 Female 49
103 Female 54

In: Statistics and Probability

In January 2003, the FAA ordered that passengers be weighed before boarding 10- to 19-seat passenger...

In January 2003, the FAA ordered that passengers be weighed before boarding 10- to 19-seat passenger planes. The order was instituted in response to a crash that occurred on January 8, 2003, in Charlotte, North Carolina, in which all 21 passengers, including the pilot and co-pilot,of a 19-seat Beech 1900 turboprop died. One possible cause of the crash was that the plane may have been carrying too much weight. The airlines were asked to weigh adult passengers and carryon bags randomly over a one-month period to estimate the mean weight per passenger (including luggage). A total of 426 people and their luggage were weighed, and the sample data are contained in a data file called FAA.
Required Task:

1. Prepare a descriptive analysis of the data using charts, graphs, and numerical measures.

Weight Gender Age
197 Male 55
171 Male 47
212 Male 62
239 Male 49
237 Male 36
252 Male 47
146 Male 46
199 Male 47
235 Male 52
176 Male 62
186 Male 56
159 Male 51
155 Male 67
179 Male 51
184 Male 56
148 Male 44
190 Male 53
194 Male 52
209 Male 55
195 Male 50
196 Male 51
195 Male 54
241 Male 47
203 Male 59
200 Male 57
191 Male 58
258 Male 52
228 Male 57
269 Male 50
187 Male 54
250 Male 42
161 Male 53
220 Male 50
229 Male 61
257 Male 42
203 Male 53
191 Male 48
223 Male 50
195 Male 44
225 Male 53
166 Male 64
182 Male 52
164 Male 65
195 Male 47
204 Male 51
206 Male 49
196 Male 55
264 Male 47
158 Male 61
185 Male 52
135 Male 70
244 Male 52
170 Male 50
187 Male 53
225 Male 55
218 Male 58
229 Male 49
221 Male 48
168 Male 53
175 Male 68
224 Male 45
214 Male 51
180 Male 56
198 Male 56
209 Male 53
220 Male 56
209 Male 47
180 Male 56
256 Male 53
218 Male 59
207 Male 54
227 Male 58
228 Male 48
188 Male 65
180 Male 55
235 Male 44
173 Male 47
163 Male 48
224 Male 46
222 Male 47
265 Male 49
244 Male 65
240 Male 55
208 Male 43
205 Male 56
217 Male 46
204 Male 60
177 Male 49
157 Male 49
227 Male 55
217 Male 59
222 Male 40
211 Male 43
177 Male 51
238 Male 55
197 Male 73
182 Male 48
183 Male 45
193 Male 61
193 Male 49
191 Male 42
228 Male 46
219 Male 43
189 Male 61
240 Male 62
157 Male 55
220 Male 43
202 Male 66
206 Male 57
187 Male 47
190 Male 62
228 Male 50
227 Male 50
217 Male 51
224 Male 65
249 Male 46
213 Male 51
221 Male 54
255 Male 51
196 Male 49
233 Male 53
209 Male 41
236 Male 62
201 Male 53
184 Male 48
234 Male 51
189 Male 62
219 Male 38
220 Male 60
196 Male 44
193 Male 40
168 Male 55
259 Male 60
190 Male 45
207 Male 50
199 Male 55
282 Male 56
239 Male 50
229 Male 47
241 Male 52
210 Male 54
220 Male 62
198 Male 34
172 Male 49
239 Male 59
197 Male 52
170 Male 60
226 Male 53
226 Male 54
217 Male 56
216 Male 54
188 Male 47
225 Male 53
219 Male 54
234 Male 51
130 Male 56
218 Male 58
245 Male 56
158 Male 43
206 Male 55
242 Male 56
251 Male 56
211 Male 40
209 Male 38
255 Male 59
204 Male 72
187 Male 54
229 Male 44
205 Male 53
233 Male 57
217 Male 46
244 Male 42
202 Male 73
179 Male 58
163 Male 50
136 Male 59
208 Male 56
213 Male 57
205 Male 57
210 Male 54
212 Male 57
245 Male 54
207 Male 60
175 Male 48
167 Male 50
210 Male 65
231 Male 45
164 Male 44
189 Male 48
219 Male 46
199 Male 61
196 Male 54
201 Male 52
193 Male 48
183 Male 57
222 Male 61
207 Male 61
239 Male 49
212 Male 54
207 Male 59
211 Male 48
211 Male 47
205 Male 48
172 Male 53
211 Male 66
209 Male 49
225 Male 44
185 Male 51
222 Male 45
211 Male 46
208 Male 46
228 Male 51
254 Male 50
170 Male 50
172 Male 58
220 Male 60
237 Male 54
181 Male 58
147 Male 55
181 Male 43
210 Male 36
217 Male 48
178 Male 58
182 Male 56
217 Male 43
208 Male 55
190 Male 41
208 Male 60
180 Male 60
181 Male 53
233 Male 55
249 Male 59
187 Male 49
200 Male 47
208 Male 51
255 Male 61
221 Male 52
250 Male 56
210 Male 40
247 Male 58
188 Male 48
179 Male 67
237 Male 47
230 Male 49
158 Male 64
239 Male 57
200 Male 53
174 Male 49
154 Male 35
183 Male 45
218 Male 57
230 Male 65
203 Male 53
204 Male 46
211 Male 60
195 Male 50
230 Male 48
192 Male 49
268 Male 60
225 Male 37
221 Male 61
179 Male 47
229 Male 45
244 Male 48
185 Male 58
197 Male 65
169 Male 55
242 Male 38
233 Male 63
210 Male 39
146 Male 49
219 Male 65
219 Male 54
238 Male 44
179 Male 52
238 Male 68
190 Male 48
185 Male 60
158 Male 41
242 Male 48
179 Male 50
247 Male 46
173 Male 52
194 Male 62
170 Male 40
248 Male 34
206 Male 56
214 Male 44
231 Male 55
258 Male 46
203 Male 59
177 Male 47
190 Male 47
228 Male 44
229 Male 44
219 Male 59
165 Male 62
167 Male 51
201 Male 56
188 Male 53
188 Male 53
229 Male 43
182 Male 59
202 Male 57
199 Male 59
246 Male 56
169 Male 49
180 Male 50
200 Male 54
176 Male 43
166 Male 53
147 Male 35
221 Male 46
196 Male 59
216 Male 44
150 Male 48
237 Male 47
152 Male 59
191 Male 45
179 Male 49
202 Male 49
209 Male 46
252 Male 52
191 Male 53
184 Male 27
185 Male 33
221 Male 51
240 Male 35
166 Male 33
231 Male 46
248 Male 30
187 Male 38
207 Male 40
183 Male 45
224 Male 46
211 Male 42
206 Male 54
177 Male 52
197 Male 29
225 Male 35
205 Male 45
232 Male 30
178 Male 27
225 Male 41
239 Male 28
146 Female 47
131 Female 45
139 Female 37
152 Female 45
139 Female 42
117 Female 37
123 Female 31
138 Female 36
109 Female 36
128 Female 35
123 Female 47
121 Female 32
171 Female 37
127 Female 48
96 Female 36
139 Female 37
130 Female 45
127 Female 28
160 Female 45
152 Female 48
164 Female 29
90 Female 39
107 Female 32
134 Female 27
108 Female 36
110 Female 33
114 Female 48
143 Female 31
168 Female 36
140 Female 43
135 Female 40
148 Female 43
160 Female 44
102 Female 37
154 Female 37
128 Female 37
144 Female 44
145 Female 36
120 Female 24
159 Female 47
135 Female 43
127 Female 55
136 Female 46
147 Female 41
157 Female 58
112 Female 57
133 Female 47
103 Female 43
156 Female 45
122 Female 52
159 Female 47
108 Female 73
171 Female 50
122 Female 55
163 Female 47
148 Female 53
159 Female 48
127 Female 50
132 Female 53
136 Female 55
123 Female 62
135 Female 55
128 Female 50
142 Female 60
116 Female 48
113 Female 48
124 Female 55
122 Female 48
155 Female 57
149 Female 49
113 Female 52
139 Female 59
182 Female 44
137 Female 70
115 Female 61
115 Female 58
152 Female 48
116 Female 58
93 Female 51
140 Female 49
103 Female 54

In: Statistics and Probability

Find the mean and standard deviation of the times and icicle lengths for the data on...

Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data168.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.)

time    length
10      3.3
20      .6
30      3.8
40      6.7
50      8.7
60      10.6
70      10.1
80      12.4
90      15.3
100     14.1
110     17.4
120     18.2
130     19.7
140     23.1
150     23.7
160     27.9
170     27.9
180     29.4
times x =
times s =
lengths x =
lengths s =
r =
time = ______ +______ length
length = ______ +______ time

In: Statistics and Probability

Find the mean and standard deviation of the times and icicle lengths for the data on...

Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data301.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.)

times x =
times s =
lengths x =
lengths s =
r =
time = +  length
length = +  time 
time    length
10      1.7
20      3.8
30      5.2
40      7.6
50      8.4
60      9.9
70      10.1
80      9.4
90      12.4
100     17.5
110     16.4
120     19.3
130     22.5
140     23.5
150     25.8
160     26.7
170     28.8
180     29.8

In: Statistics and Probability

Find the mean and standard deviation of the times and icicle lengths for the data on...

Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data449.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.)

time    length
10      1.6
20      3
30      4.2
40      4.7
50      7.5
60      11
70      10.8
80      13
90      13.7
100     17.1
110     15.9
120     19.1
130     21.6
140     22.7
150     25.8
160     25.8
170     27.5
180     30.2

times x =

times s =

lengths x =

lengths s =

r =

time = + length

length = + time

In: Statistics and Probability

Find the mean and standard deviation of the times and icicle lengths for the data on...

Find the mean and standard deviation of the times and icicle lengths for the data on run 8903 in data data234.dat. Find the correlation between the two variables. Use these five numbers to find the equation of the regression line for predicting length from time. Use the same five numbers to find the equation of the regression line for predicting the time an icicle has been growing from its length. (Round your answers to three decimal places.)

times x =
times s =
lengths x =
lengths s =
r =
time = +  length
length = +  time 
time    length
10           2.5
20           1.9
30           3.8
40           5.4
50           6.4
60          10.1
70          9.5
80          12.1
90          14.1
100         13.9
110         18.9
120         19.1
130         21.5
140         23.3
150         26.5
160         28.2
170         29.6
180         28.8

In: Math