A new software package is being developed and tested to help analysts reduce the time required...
| A new software package is being developed and tested to help analysts reduce the time required to design, develop, and implement a new information system. To evaluate the benefits of the new software package, a random sample of 24 systems analysts is selected. Each analyst is given specifications for the new information system. Twelve analysts are instructed to produce the information system by using current technology. The other 12 analysts are trained in the use of the new software package to be used to produce the information system. The following data represent the completion times: | |
| Current Technology | New Software |
| 300 | 274 |
| 280 | 220 |
| 344 | 308 |
| 385 | 336 |
| 372 | 198 |
| 360 | 300 |
| 288 | 315 |
| 321 | 258 |
| 376 | 318 |
| 290 | 310 |
| 301 | 332 |
| 283 | 263 |
| Using a .025 level of significance, test whether the current technology took longer than the new software to complete the project. Show the following in your report: | |
| 1. Ho & Ha | |
| 2. p-value | |
| 3. Reject/don't reject Ho based on comparison of p-value to alpha. | |
| 4. Your conclusion, specific to the problem statement with respect to whether the new software should be replacing the current technology |
Homework Answers
Let 
denote
the average time taken by the current technology and new software
respectively.
Conclusion : There is sufficient evidence to support the claim that he current technology took longer than the new software to complete the project. and that leads to conclusion that the new software should be used to replace the current technology.
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below is my code and screenshot
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data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
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Hi it's python I imported a data which are so many words in txt
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columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
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df_output
This below screen shot is what I have to find
I have to find each word...
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1.Create your own table design based on the Excel data, and
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Import the data from Excel to Access to populate
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1. Use the Chen technique and illustrate the E-R diagram for the
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normalization issues, if you change the composition detail how and
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