Quantitative Data Analysis Paper

During this project we had to collect a quantitative number of fifty data information. For my project I decided to do the quantity a person has visited amount of states, including just driving through. Sample surveys is based off a sample of observations that are supposed to use the probability for showing the rest of the population. Experiments are taken place when there is a procedure and it consist of a hypothesis or demonstrating a known fact. Then there is an observational study in which is when there is trying to undertake the knowledge of knowing a cause-and-effect relationship. The best thing for each of these kind of data collections would be how important randomization techniques are, because each test needs a sample size of a population …show more content…
The histogram and the dot graph was able to reveal that the data was not represented well because of the few that were off by themselves such as the plot point thirty seven to one and the forty nine to one. During all three graphs there was no actual shape defined by the plots, since they consisted of the plots increasing and decreasing throughout all the graphs. There was also the outliers in the graphs in which was the thirty seven and forty nine because that was the maximum amount that people declared that they went too which was not close to all the other points that were adjacently grouped together. The standard deviation for all these plots is 7.97 in which makes the interquartile rage be interpreted in the box plot, Q1 is 6 and Q3 is 13. Some of the interferences that can be drawn would be the Q3 because of the larger points, the Q3 is then more spread …show more content…
The reason that rule does not follow along with that rule is because I took the amount of states there are which is fifty, then multiplied it by sixty eight percent making the nube come to a total of thirty four which mean there should have been a total of thirty four people in the amount ranging between four and nineteen states which actually came to a total of forty people making it the percentage not sixty eight percent. There was also the ninety five percent which I multiplied the fifty and got a total of forty seven point five. So the numbers had to range from -4.96 and 26.92 which came to a total of forty eight points which is not ninety five percent but more. There also cannot be a negative state, making it not possible for the information below. The standard deviation that should fall along within the mean is sixty eight percent. In my graphs the standard deviation percentage around the mean is eighty percent. The relationship of sample size that I gathered compared to the population is too small for