When I was a volunteer EMT, sometimes we would try to predict what type of calls

When I was a volunteer EMT, sometimes we would try to predict what type of calls we would get that day and how many times that call would happen. Each prediction for a specific type of emergency would depend on the time of year and if there were certain events, such as a music festival. For example, in the summertime with our station being the closest to the beach, we would try to guess how many calls there would be that day for a heat related emergency (ex: 4), and out of those, what would be the likelihood that our ambulance (perhaps ≤ 1) would get that emergency out of the 16 ambulances on call in the city. In a 12 hour shift on a weekend, just one ambulance can get up to 10 calls, each call averaging one hour (from first contact with patient to drop off at hospital and ambulance decontamination).
I don’t know about the people I worked with, but when attempting to make these predictions, I never used any math or calculations. I would make judgments and assumptions throughout the day based on the times between calls and our current location in the city (how close/how far from the beach, which hospital we were currently at). I suppose my sampling was non-random, specifically judgment sampling.
The type of sampling that would best be used is random sampling. In EMS, you never know what type of emergency call you will get, so I think simple random sample, or stratified sampling, would be the appropriate type of sampling.

Happy Thanksgiving, The polls for the 2016 election were showing Hillary Clinton

Happy Thanksgiving,
The polls for the 2016 election were showing Hillary Clinton winning the presidential election. Election polls rely on people giving honest answers.  In this case we had many individuals for whatever reason not wanting to let pollsters know that they were voting for Donald Trump, so they said they were voting for Hillary Clinton.  Other research showed that a relatively small polling bias which saw Republicans underrepresented in several key states which caused the polls to tip in Hillary Clinton favor, predicting a Hillary Clinton win.  Before the election Hillary Clinton had a 70 percent probability to win the 2016 presidential election.   This prediction turned out to be incorrect because of a real change in voters’ preferences just before the election, an overrepresentation of college graduates in some poll samples, and late-revealing Trump voters. As the election night went on, the numbers turned in Donald Trump’s favor and was elected the 45th president.  We see polls like this on many bills, likability of congress and senate members and the how a mayor, governor or president is doing with the according to those who answered the questioners when called.   This is improper sample of individual because not everyone is polled, only those who are called and have answered.  Yes, you are getting a percentage but not from the entire voting population, just a small sample. 

  Question 3: As you can see from the attached document, question 3 concerns non

 
Question 3:
As you can see from the attached document, question 3 concerns non-seasonally adjusted data adjusted for inflation, and an equation used to estimate
1) Autocorrelations
2) adding seasonal lag of sales growth to interpret the coefficients in the model
3)Retail sales growing at a certain rate per month and involving the model to estimate a growth rate in the current month
Question 4:
This question is about predicting sales for Johnson & Johnson for the first quarter of 1985, and involves
1) Using the regression output in the above table, determine whether the estimates for b0 and b1 are valid.
2) If this model is mis-specified, describe the steps we should take to determine the appropriate autoregressive time-series model for these data.
Requirements: As detailed as possible with explanations perhaps on a separate document on how you got your

Discussion questions are designed to help you make meaningful connections between the course content and the larger concepts and goals of the course.

In your initial post, consider what you have read in the assigned Chapter 2 sections of the textbook and identify your own example of improper sampling from your day-to-day life (try not to repeat examples shared by your peers). Be sure to provide the sampling method used, why the sampling method is improper, what type of sampling should have been used, and why.
Discussion Rubric: Undergraduate
Your active participation in the discussion forums is essential to your overall success this term. Discussion questions are designed to help you make meaningful connections between the course content and the larger concepts and goals of the course. These discussions offer you the opportunity to express your own thoughts, ask questions for clarification, and gain insight from your classmates’ responses and instructor’s guidance.
Requirements for Discussion Board Assignments
Students are required to post one initial post and to follow up with at least two response posts for each discussion board assignment.
For your initial post (1), you must do the following:
 Compose a post of one to two paragraphs.