2. for the following set of scores, fill in the cells. the mean is

The probability of a score falling between a raw score of 70 and 80 is 0.30. This means that 30% of the scores in a given population are likely to fall within this range. The probability can be calculated by looking at the distribution of scores in the population, or by using statistical formulas such as the Normal Distribution, which offers an easy way to estimate probabilities for data sets with relatively normal distributions (i.e., those that are symmetric around their mean).

The probability of a score falling above a raw score of 80 is 0.20, indicating that only 20% of scores will typically exceed this threshold. This calculation can also be performed using statistical methods such as finding the area under a curve for normal distributions or calculating cumulative probabilities from frequency tables for non-normal distributions. In either case, it’s important to note that these estimates may not always reflect real world results due to potential sampling errors or other factors outside our control.

Overall, understanding how to calculate and interpret probabilities is an essential part of quantitative research since it helps us draw more accurate conclusions about our data sets. By having knowledge about what kinds of outcomes are possible—and more importantly, how likely they are—we can make better informed decisions based on our findings when attempting to answer questions related to various topics in our studies.