Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
Business Stats ch 12
Basic Statistics for Business and Economics ch 12
| Question | Answer |
|---|---|
| Analysis of Variance (ANOVA) | The simultaneous comparison of several population means. |
| What are the characteristics of the F distribution? | There is a family. It is continuous. It cannot be negative. It is positively skewed. It is asymptotic. |
| The F distribution is used to test: | The hypothesis that the variance of one normal population equals the variance of another normal population. |
| To use the ANOVA, we assume the following: | The populations follow the normal distribution. The populations have equal standard deviation (sigma). The populations are independent. |
| Total Variation | The sum of the squared differences between each observation and the overall mean. |
| Treatment Variation | The sum of the squared differences between each treatment mean and the grand or overall mean. |
| Random Variation | The sum of the squared differences between each observation and its treatment mean. |
| SS Total (Sum of Squares Total) = | SST + SSE |
| SST | Sum of Squares Treatment |
| SSE | Sum of Squares Error |
| MSE (Mean Square Error) = | SSE/(n-k) |
| MST (Mean Square Treatment) = | SST/(k-1) |
| F = | MST/MSE |
| Degrees of freedom in the numerator = | k - 1 |
| Degrees of freedom in the denominator = | n - k |
| k = | Number of Treatments |
| n = | Number of Observations |
Created by:
dengler
Popular Business sets