Data Analysis Toolbox

When someone is creating an experiment, it is important to have a plan of how and why the data are to be collected. The data that were collected is described by four-year-olds that attend Jefferson Parish Head Start. The variables were the grades they make in a test. They were recorded in percentages and percentiles. The test was based on the expectations four-year-old should achieve at their age. I received the expectations from a teacher adviser at one of the centers. They were tested on math including counting and recognizing numbers and English including reciting the alphabets, writing and recognizing their name. The reason the data were collected not only to complete a project for statistic but to find a relationship between East Bank Head Starts and West Bank Head Starts. At the conclusion of the project, I will be able to find out which center is the best in terms of teaching and whether the East Bank or West Bank is better. I was responsible for collecting all the data and I administered all the tests. It was gathered at all the Heat Starts in Jefferson Parish by giving the students a test.

The graphs that were used to help analyze the data were histograms, bar graph, box plot and a two way table. The histograms were used to assess the grades by center. The histograms were able to show the normality and the cluster of the data for the centers by the percentages. The box plots were used to show the spread of the data; it showed the lowest score, the highest score, middle score, and the quartiles. The bar graph and the two way table were used to compare the centers. The bar graph showed the amount of students who received a passing grade (seventy percent or higher). The two way table would share the same purpose of the bar graph but they would show percentages instead of counts.