Blog

In the Apache Spark Machine Learning Case Study entitled “Titanic Survival Random Forest Model”, what were the features that were chosen to factor into the Random Forest predictive model prediction of whether or not someone survived the Titanic Iceberg Collision Disaster in the early 20th century?  Roughly speaking, how accurate was the model in its predictions using the Random Forest Machine Learning algorithm on the supervised learning dataset based on these features?

In the Data Science Case Study entitled “Introduction to Apache Spark and Data Frames” in the subsection of the video case study entitled Data Analysis with Spark, there was several basic machine learning algorithms used, what were these algorithms?  Describe how they were used and on what dataset they were applied to create a clustering model.  Describe how the Data Scientists utilized Time Series Analysis to analyze Data Frames within this video.

Which of the following is not a DataFrame transformation?

Please find the exam questions in the PDF file: mae242_online_s25_ex3_sails-1.pdf Time limit is 100 minutes. Please organize your work into a single PDF file for upload. The allotted time includes that for problem solving and preparation/upload of the PDF file. To submit the solution, choose the appropriate PDF file, then click on “Submit Quiz” to complete the upload.

Suppose your accountant tells you a project was “over budget.” Revise/update the probability the project was a company A project.

The table below indicates color and size of a bowl of 100 marbles.  Color Small Large   Blue 30 10 40 Green 9 8 17 Red 15 5 20 Yellow 10 13 23 Total 64 36 100 total   Question: You select 3 marbles (without replacement) from the bowl. What is the probability you will end up with a blue marble, and a red marble, and then another blue marble? Show at least 2 non-zero digits after the decimal. Show as much work as possible.  

You plan to conduct an experiment regarding color preferences. Further, suppose 22% of college students prefer black cars. If you randomly select 20 college students and ask them what color car they drive, would this be a binomial experiment? Briefly explain why it would or would meet the binomial requirements.

In a Poisson distribution with an expected value (average) of 5, which x-value will have a higher probability: 7 or 10? Briefly explain why. [You cannot actually compute these probabilities. Instead, just tell me whether x = 7 or x = 10 would have a higher probability AND explain how you know.]

  The blue link below should open a PDF of the formula sheet. You can open that, and leave it open during the exam. If the link does not work, you can use the image below for test formulas. You will need to scroll back to the top of the test to refer to the formulas in that case.   Please answer True. Test 2 Formulas                              

A local restaurant offers a fixed price meal in which diners select from a choice of 4 appetizers, 2 salads, 9 entrees, and 3 desserts.  How many different meals are possible? Show as much work as possible.