THIS IS A DISCUSSION POST ONLY!150 to 250 WordsThis video discusses sampling in the context of how estimates of population parameters are obtained. It refers to Video 1: What is an Average? where we obtained an “average of 1.89 feet per person.” It points out that applying this statistic depends on thinking through whom the population is meant to be, and that depends on the study question (i.e., “If you want to understand your answer, you really have to work out carefully what your question is.”).As the sample statistic was derived from a bunch of kids heading to the playground, plus a one-legged man who we asked to show up, we conclude that the sample was a bad one. We explain that random sampling is generally a good way of obtaining a representative sample such that you can be confident that the sample statistic is a good estimate of the population parameter.Respond to the following response below:Magazines often report surveys giving statistics such as “63% of women expect the man to pay on the first date.” Are these random samples? These surveys are most definitely not random – they are typically click-through from the magazine website – and so can provide an opportunity to discuss the sort of biases that can result from lack of random sampling.Video 3 Below:https://mediaplayer.pearsoncmg.com/assets/MsQQxcXFvHB_VZh1oA5V861T4AL2Cenj

Collect some data from your daily life, at least 30 points of data. It could be the number of emails you receive each day, your daily footsteps, minutes spent at the gym, calories consumed, commute time, time spent on the phone, body temperature, weather data – or come up with a survey question (“Do you like dogs?” “How many cousins do you have?” “What color is your car?”) and go ask some people! …the possibilities are endless.Choose some visual way to display your data, and calculate descriptive statistics to describe the center of the data and its spread. Describe the method you used to collect your data. If it was a sampling method try to classify it as one of the methods described in chapter 1. Post your data set and your visualization as well as the descriptive statistics. Explain why you chose this particular visualization, and why you think it is effective. What pattern emerges, and what story does the picture tell? Also please explain why you chose the statistics you did to measure center and spread.Week 2 Responses (100+ words, x2):Choose two of your classmates posts from week 1. Discuss the pros and cons of the sampling methodology they used. Create an alternative data visualization and post it. What are the benefits or drawbacks of this new visualization?

Identify whether collected information falls into a specific level of measurement (nominal, ordinal, interval, and ratio).From a healthcare profession perspective, provide an example of a variable that is nominal, ordinal, interval, and ratio and explain why you came to this conclusion. Note: You should have four examples to earn full credit on your initial post (one for nominal, one for ordinal, one for interval, and one for ratio).