EDRS 673: Pre-Generated Data

State of My State Although I am comfortable analyzing pre-generated data, developing my own data utilizing formulas has been a challenging yet rewarding experience in EDRS 673. My comfort level and proficiency vary with each concept presented thus far. Descriptive data, correlations, and regressions are statistical methods I comprehend well enough to analyze confidently. On the other hand, z-cores and t-tests are statistical methods I struggle to fully understand. In general, I understand the purpose of each concept, but I am unsure of how well I am able to summarize findings for all of the statistical methods discussed in class. Descriptive data, which can be generated and utilized at the school or district level, are great tools to help inform and improve instruction. Descriptive statistics include standard, deviation, mean, median, mode, and range. I understand the mean, median, and mode are measures of central tendency, of which mean is most the widely used. Also, I understand standard deviation is the most important measure of variability. Standard deviation can be described at the number, which shows the spread out dimensions within a group are in relation to the mean. Thanks to Dr. Bunch’s visual examples, I was able to grasp this concept pretty well. …show more content…
Two types of regressions, which include simple regression and multiple regression. Essentially, a regression shows the line of best fit. In a regression, Pearson r squared is used estimate how much one variable is responsible for another variable. The correlation coefficient squared is turned into a percentage to represent the impact of one variable in connection to another variable. The p value of a regression must be equal to or less than .05 in order to be significant. In a regression summary, a specific number represents the change of outcome of a variable depending upon how often another variable