|
Term
The weighted mean is used for what data? |
|
Definition
|
|
Term
What is the Fj in the weighted mean formula? |
|
Definition
Frequency of the specific class |
|
|
Term
What is Xj in the weighted mean formula? |
|
Definition
the midpoint/average of each class interval |
|
|
Term
How to calculate the weighted mean : |
|
Definition
- Find the average/midpoint for each class
- then multiply the class frequency by the class average for EACH CLASS = Xj * Fj
- Add together Xj * Fjof each class
- Divide the sum of Xj * Fj of each class by sum of the frequencys of all the classes
|
|
|
Term
What factor determines the appropriate measure of central tendency? |
|
Definition
the symmetry of the data/ frequency distribution |
|
|
Term
What is a normal (symmetrical) frequency distribution? |
|
Definition
THe values of your data set are distributed fairly evenly on both sides of the mean of the data |
|
|
Term
Where is the mode, median, and mean located on the distribution curve? |
|
Definition
Center of a distribution curve |
|
|
Term
What is a skewed distribution?
|
|
Definition
The data values are distributed unevenly on both sides of the mean of the data |
|
|
Term
|
Definition
The greatest frequency of the data occurs toward the low end of the range
The mean of the data values is pulled away from the area of the greatest frequency toward the right (positive) direction of the x-axis by a few high values in the data set
|
|
|
Term
|
Definition
The greatest frequency of the data occurs toward the high end of the range
The mean of the data is toward the left (negative)
|
|
|
Term
What measures of central tendency can be used for a normal distribution?
|
|
Definition
ALL THREE--mode, median, mean
|
|
|
Term
What measures of central tendency can be used for a skewed distribution?
|
|
Definition
|
|
Term
What measures of central tendency can be used for an extremely skewed distribution and bimodal?
|
|
Definition
|
|
Term
What do measures of dispersion and variability tell you? |
|
Definition
They provide an indication of the degree to which data values are distributed to either side of their mean |
|
|
Term
|
Definition
The difference between the largest and smallest data values |
|
|
Term
What is standard deviation? |
|
Definition
Based on individual deviations of each data value in a data set from their mean |
|
|
Term
Sample Standard Deviation |
|
Definition
|
|
Term
Population Standard Deviation |
|
Definition
|
|
Term
What is the coefficient of variation? |
|
Definition
A realtive measure (percentage) of dispersion and variability |
|
|
Term
In what circumstances should the coefficient of variation be used? |
|
Definition
- When comparing standard deviations between geographic regions
- When comparing the standard deviations of two or more variables with different measurement units
- when comparing the standard deviation of two or more variables whose data values are significantly different in magnitude
|
|
|
Term
Coefficient of Variation (sample) Formula |
|
Definition
|
|
Term
Coefficient of Variation (population) Formula |
|
Definition
|
|
Term
What does Pearson Correlation Coefficient (pearsons r) determine? |
|
Definition
The strength of a relationship between two variables |
|
|
Term
What does the "t test" determine? |
|
Definition
If Pearson's R is statistically significant
if we can rely on pearsons r
|
|
|
Term
Pearsons R
Correlation Coefficient Formula |
|
Definition
|
|
Term
|
Definition
One degree of freedom is subtracted for each variable
|
|
|
Term
How to test for statistical significance: |
|
Definition
- Calculate pearsons r
- Calculate t-test
- Use t-test and degrees of freedom to find the critical value
- Compare the t-test to the critical value: must be equal to or greater than the critical value
|
|
|
Term
|
Definition
|
|
Term
Coefficient of Determination Formula |
|
Definition
coefficient of determination = r2 * 100 |
|
|
Term
|
Definition
|
|
Term
|
Definition
|
|