Sampling

In this weeks lesson I was most interested in the many different sampling people take when trying to collect data for a certain claim. We take samples in our everyday life, the question is how accurate is it and if its bias towards other people. Some examples would be like people who prefer which type of Phone Company to use. The surveys could be taken from a group of people using that company already. Which gives the data some bias because it’s not completely fair to say which company better. That is why they developed random sampling so everyone has the equal chance of being a part of the particular sample. Therefore there will be no bias in the data because it is all random. If the sample was to be a random sampling the generalization made will be more accurate. The main goal of sampling is the population and the variation in the data.