1. Data will first be organized in a data table based on groups or variables.
2. The mean or average for each group or variable tested will be calculated.
3. Using an excel spread sheet the standard deviation for each group of variable will be calculated.
A relationship between 2 variables identified.
1. Using an Excel spreeadsheet, use the independent variable for the first column
2. The dependent variable will be identified in the second column
3. highlight the table and Click the fx button
4. Under statistics select CORREL
5. The algorythem designed by microsoft will calulate the correlation coefficient (r)
6. If the r value is close to zero, there is no correlation.
7. If the r value is close to positive 1, there is a positive correlation. As one goes up the other goes up.
8. If the r value close to negative 1, there is a negative correlation. As one goes up the other goes down.
- To claulate a T-test or ANOVA the statisiticval software "Jump" will be used.
- In the first colum enter dependent Variable.
- In the second coum enter the Indepoendent Variable.
- T-test measures the difference between the means of two groups, an ANOVA tests the difference between the means of two or more groups.
- In the qudralateral, the mid-line represents the mean of the trail, the two smaller lines represent the 1st standard deviation and the top and bottom point of the quadralateral represent the 2nd standard deviation. the width of the traingle represents the number of runs in each trail.