Category: Engineering

1. Using the data in the attached file create a linear regression model and thoroughly explain the results of the output of the regression. Make sure your model includes only the relevant variables. To demonstrate how your model works, make a prediction where you select the independent as the mean of each independent variable in the data. 
2. Using the same data, compute a quadratic regression model. Similarly as above, thoroughly explain the results, and only include the relevant variables. Compute a prediction using the same input as in 1. 
3. Which model should be used, the one from 1. or the one from 2? Why?
Turn in a word document that includes 1 .2.and 3. 
Extra credit (up to 40%)
Compute the regression output using R. No need to create another report in Word. 

I have attached the Lab C presentation for you to go by.
Lab D is about Efflux Times
I will attach the data as soon as i have it

The air conditioning (A/C) unit of a car is operating on a summer day when the temperature is
30°C. It cools the air to 6°C using 2.5 kW of power output. The A/C has a COP of 3. Find the mass
flow rate of the cold air that the A/C unit can provide on that particular day. (b) A building freezer that is used to freeze vegetables requires 30 tons of refrigeration to keep the
food frozen. The temperature of the freezer is -35°C and the ambient temperature outside the
building is 30°C. If the performance of the freezer is 25% of the theoretical best possible cycle,
what is the power required to run the freezer. 1 ton of refrigeration is equivalent to 210 kJ/min.

This being a graduate-level course, requires independent research capabilities. I am here to guide you but some of the steps will require you to find the processes step by step.
Should you have questions, feel free to ask. 
1. Open the Excel file attached. 
2. Save each one of the worksheets as separate CSV files
3. Read the CSV files into R using R Studio
4. Using Excel:
For Worksheet 1: Compute the average, mean, and median of the data. Create a histogram, a box plot (box and whisker plot). Using the box plot, identify the 25% and 75% percentile. 
For Worksheet 2: Prepare a scatter diagram of the 2 variables. Using the statistical toolkit, find for each column, the following data: Mean,standard error,median,mode,standard deviation,sample variance,kurtosis,skewness,range,minimum,maximum,sum,and count
5. Repeat Step 4 using R instead of Excel. 
6. Using Excel (Excel pre-built fomulas or your own typed formula), compute the values of a binomial distribution (probability mass function and cumulative probabilities) where successes x = varies from 0 to n, where the attempts n=10, and the probability of success at every attempt is p=0.2. Prepare a graph showing both values
7. Using Excel, compute the value of a hypergeometric distribution (probability mass function and cumulative distribution), where the number of successes x varies from 0 to n, where the number sampled n=3, the lot size is N= 40, and the total number of successes in the lot X= 4. Prepare a graph showing both probability mass function and cumulative distribution). 
8 Compare 7 with an approximation to a binomial distribution with equivalent parameters. 

1. Using MS Excel or other software, prepare the table and graph of an OC curve for simple sampling plans and double sampling plans. For the simple sampling plan consider two options
a) n=50; c=2; r=3; and
b) n=65; c=2; r=3.
For the double sampling plans compute the OC curve of
a) n1 = 50; c1 = 1; n2 = 40; c2 = 3; r = 4 and
b) n1 = 65; c1 = 1; n2 = 40; c2 = 3; r = 4. 
Note: c3 includes defective product found in the first sample plus defective found in the second sample.
Hint: To a see a worked example, refer to section 15.3.1 in the book and problem #8 in the sample test with solutions
2. Write a report (MS Word or PDF) describing the contrast between these plans (include the tables and graphics prepared in MS Excel in the written report, particularly the impact on the risk of the consumer and the risk of the producer. Identify in all these plans the conditions that make the risk for the producer to be equal to 5%, and the conditions that make the risk for the consumer to be 10%. Assuming a lot size of 2000, make a graph of the AOC and the ATI for these plans. 
Indicate which plan is closer to the ideal OC for a sampling plan and why?
Make sure you properly caption tables, figures, and formulas. If you have questions about this let me know. 
3. Turn in both your written report and the MS Excel file. 
4. Extra credit
If you also turn in an analysis of the OC curve in R, you will get 40% extra credit. The R part of the project requires the code, input, and output of the R in a PDF file, indicating the steps to process the information. It must contain a description of the data frames used and the graphic representation of the OC curves. 

I need the animation (simulation) of a station of work that I have already on solidworks, I need for tecnomatix process simulation
Important Info
The order was placed through a short procedure (customer skipped some order details).
Please clarify some paper details before starting to work on the order.
Type of paper and subject
Number of sources and formatting style
Type of service (writing, rewriting, etc)

It is a project in petroleum engineering from Heriot Watt Univercity in UK . 120 papers including graphes and tables . I need someone who completed similar projects and has Petroleum engineering background. I have added some examples which will help a lot and reduce the efforts and time . the Project data is also added which the entire work will be on it . the one will take the project need to provide a bi-weekly progress report to discuss and ensure all are in place . some references are added . it is better to referee to these files
Important Info
The order was placed through a short procedure (customer skipped some order details).
Please clarify some paper details before starting to work on the order.
Type of paper and subject
Number of sources and formatting style
Type of service (writing, rewriting, etc)

The picture is attached for last week to pick a part to get approved for reverse engineering. Another picture is for this week′s assignment to start the reverse engineering of the pedestal fan. Looking like I need to keep a journal entry of what I do to create the reverse engineering.
My professor forgot to remove Autocad and change it to Solidworks 2022.

Please answer the in thermal design file. Read the whole question and give accurate answer and details.
Read the scenario and the question. I attached 4 files 1/ thermal process design to answer 2/ semi graph to use where necessary 3/ D70 for reference and 4/ TP5 lecture presentation.

combine all the requirements, use cases, and other diagrams you developed throughout the course and incorporate those into a cohesive, narrated presentation or video using PowerPoint or another presentation tool. The narrated presentation should explain the design review and also include entry and exit criteria. 
Speaker notes on every slide.