PLEASE ENABLE EDITING BEFORE FILLING OUT THIS REPORT!No report will not be accepted for credit after that time.Grade:Lab average to date:Overall average to date:Results: (You may attach a copy of your group data.) (70 pts)1. Qualitative analysis:SourceObservationsFluorescentRoom LightsIncandescentLight Bulb2. Colored Light Bulbs:Incandescent Light BulbColorObservationsBulb #1Bulb #2
3. Discharge Tubes:
Tube Contents
Observed Wavelengths of Discrete Spectral Lines
hydrogen
helium
neon
mercury
4. Wavelength of a Low Power Laser
Observed Wavelength(s) of Discrete Spectral Line(s)
Description of the laser as compared to other line sources
Questions: (30 pts)
1. Identify a light source that is continuous, one that exhibits line spectrums and one that shows both (if any). How many spectral lines were observed for each?
Light Source
# of Spectral Lines
2. Go online and find the spectrums for the four discharge tubes. Did your observations differ from these published data? If so, why do you think it differed? Record the url for the page you visited for each spectrum.
Spectrum
Same? (Yes/No)
Reason
3. Do a little investigation and explain (briefly) why the laser’s spectrum appeared as it did
Many business activities generate data that can be thought of as random. An example described in the textbook is the servicing of cars at an oil change shop. Each car entering the shop can be considered an experiment with random outcomes. A variable of interest in this experiment could be the amount of time necessary to service the car. Service time will vary randomly with each car.
We can often capture the most relevant characteristics of a stochastic process with a simple probability distribution model. We can then analyze the model to make predictions and drive decisions. For instance, we could estimate the number of technicians the oil change shop needs to service demand on a Saturday afternoon. Discuss the following:
What is a random variable?
How would you differentiate a discrete from a continuous random variable?
A laptop manufacturing company has implemented a 2-step process to test the quality of each production batch. In the first step, a technician randomly selects 15 laptops from the batch and determines whether they meet specifications. The batch is considered acceptable provided no more than 1 laptop fails to meet specifications. Otherwise, the entire batch must be tested in the second step. Historical data shows that 95% of the laptops produced adhere to specifications. Discuss the following:
What are the 4 characteristics of a binomial experiment?
Can we use a binomial distribution to model this process?
What is the probability that the entire batch unnecessarily has to be tested if in fact 95% of its laptops conform to specifications? (Hint: Use Excel’s =BINOMDIST() function to find the probability.)
What is the probability that the batch is incorrectly accepted if only 75% of its laptops conform to specifications?
Due Day 7
Reply and or respond to at least 2 of your classmates or your faculty member, and/or address the following subjects:
Explain what we mean when we identify “cause and effect”.
How are percentages an important part of determining probability?
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How would you differentiate a discrete from a continuous random variable?
https://class.aiuniv.edu/LCMSFileShareCommon/3d7/078/1bd/b9b/485/a91/8b4/b2e/df6/06f/3d/143218_a.pdf is a sample of Web server statistics for a computer science department. Write an essay of 2 pages that contains the following: A complete overview of the data, identifying anomalies in different weeks, and the weeks that the data are not regular. Choose 5 different sections of data, examine these sections, and provide the specific selection process and criteria you used to select this data set. Provide the measures of tendency and dispersion for each of the 5 different sections of data you selected. Provide 1 chart or graph for each of the 5 processed sections. This may be a pie or bar chart or a histogram. Label the chart or graph clearly. Explain why the graph you provided gave a good visual representation of the data. Based on your explanation above, identify some specific advantages why, in general, Write an essay of 2 pages that contains the following: A complete overview of the data, identifying anomalies in different weeks, and the weeks that the data are not regular. Choose 5 different sections of data, examine these sections, and provide the specific selection process and criteria you used to select this data set. Provide the measures of tendency and dispersion for each of the 5 different sections of data you selected. Provide 1 chart or graph for each of the 5 processed sections. This may be a pie or bar chart or a histogram. Label the chart or graph clearly. Explain why the graph you provided gave a good visual representation of the data. Based on your explanation above, identify some specific advantages why, in general,introduction to discrete mathematics in IT
The overview of the data set showed that different weeks registered varying total successful request. Also, some of these requests were not successful and some received total failure and some were redirected. These variations lead to difference in total data transferred in megabytes. Some of the issues that were noticeable in the data set was that the number of corrupt files were significantly low(Kenneth, 2012). In addition, the data set contain a column of total data transferred in megabyte and average data transferred per day in kibibytes, which I considered the units should have been the same. Another anomaly is that week threeregistered lowest numbers in six columns, which was much lower than the means. Similarly, week five registered the highest numbers in most of the column, which was higher than the mean. The anomalies were identified through the use of Box and Whiskers plot of the entire data set as shown below.
The five sections of the data selected for further analysis were total successful request, total failed requests, number of distinct files requested, corrupt logfile lines and total data transferred in megabytes. The process of selection was to remove columns that were related. For example, the first three column: total successful request, average successful request per day, total successful requests for pages, and average successful requests for pages per day were related and one column needed to be further analyzed and make inference relating to successful requests. The second process was to remove the column remove the column of total redirected request since most web server will redirect when wrong request is made. Also, the column on number of distinctions were related and one was enough to carry out further analysis. Finally, the last two columns on total data transferred in megabytes and average data transferred per day kibibytes needed one column to make inference about the amount of data transferred.
week
Total successful requests:
Total failed requests:
Number of distinct files requested:
Corrupt logfile lines:
Total data transferred:(in Mbytes)
1
220506
13400
14299
42
1456
2
230004
12400
15003
39
1501
3
198080
12334
11480
32
1580
4
243058
15890
17490
80
1805
5
332800
21890
21789
45
2150
6
231890
13450
13899
29
1489
7
235450
13789
15890
30
1490
8
245455
18332
12334
41
1491
9
228944
13450
14300
41
1600
Mean
240687.4
14992.78
15164.89
42.11111
1618
Standard Deviation
37236.79
3202.831
3052.245
15.31702
226.0664
Median
231890
13450
14300
41
1501
The five sections of data were analyzed using a stacked column chart which used to compare parts of a whole, which in this case were weeks one to…………………………………………………………………………………………………
Please follow the instructions for Writing Across The Curriculum
1. Pick any topic related to Discrete Structures or Discrete Mathematics (ex: Data Science, Bit Coin (Block Chain), Cryptography, Q-bits (Quantum Computing), Graph & Trees, Analysis of Algorithm Efficiency, Set Theory, (Surface Web vs Deep Web vs Dark Web), Artificial Intelligence, Machine Learning, Deep Learning, etc.
2. Write 2 to 3 pages of report on the selected topic.
First paragraph – Do an introduction about the topic.
Second paragraph – What are the problem(s)?
Third paragraph – What are the soulution(s)? (ex: application in real world, etc.)
Fourth paragraph – Your conclusion about the topic.
Fifth – Give citation or references in APA format.
NOTE: Your paper should have double space, free from grammar and spelling mistakes.
