Group means, percentages, and c orrelations are used to describe research results in. diff erent ways. According to Cozby (2015), group means c ompare the mean responses of. individuals in two or more groups.
How can graphs be used to describe and summarize data? Graphs can be used to describe and summarize data as well as interpret the data gathered. According to Cozby (2015), graphs accommodate researchers in summarizing data especially when it includes very high or very low values and it shows a better graphic example of their data.
Graphs can be used to descri be and summarize data as well as interpret the data gathered.
According to Cozby (2015), group means compare the mean responses of individuals in two or more groups. Percentages are used to explain research results by the simple attributes of data in studies, visuals, and samples (Cozby, 2015). Lastly, correlates are used to explain results by looking for relationships or comparisons between variables (Cozby, 2015).
Explain how and why multiple correlations are used as prediction variables? According to Cozby (2015), multiple correlations are used as prediction variables because they combine a number of prediction variables to multiply the validity of the prediction of the result variable. They are also used to make more precise predictions of each variable (Cozby, 2015).
An example of this would be an appraiser who takes the measurement of a building, number of rooms, average prices that the building could be listed for, and compares them to other buildings for sale in the area.
After reading this case, frequency polygons would be a good statistic to use in this case to display the levels of anxiety based on the various types of creativity. According to Cozby (2015), you can create a group of points on the same graph for each individual and see discrete patterns.