1. Which is not a feature of statistical power analysis?
- Alpha value (the more you try to avoid TI the harder it is to avoid TII)
- Strength of the pattern (signal)
- Not the type of test you are doing
- Variability in the data
- Measurement error (noise-unwanted variable)
- Sample size
- Statistical power analysis: is a thought experiment about making a TII error, if there is a difference, how likely is it that the difference we arose occured by chance and how likely can we detect it?
1 of 20
Other questions in this quiz
2. Which is not a primary observation of the Central Limit Theory?
- The standard error of the sampling distribution of the mean is much bigger than the population
- Shape of sampling distribution of mean is normal
- The mean of the sample distribution of mean, the average sample mean goes towards the true population mean
- The standard deviation of the sampling distribution of the mean is much smaller than the standard deviation of the population
3. Which is not a feature of the F statistic graph?
- The right-skew in the F-distribution remains, even for very large samples. Both the t and normal distributions are symmetrical.
- F-TEST compares two variances to see whether one is significantly bigger than the other
- F distribution is bounded at 0, with all F-values having to be positive. Both Z and t can be either positive or negative, and the normal and t distributions go to infinity in both directions, this is only true
- When both d.f. values are small it is very right-skewed. When both are large it looks a bit like the normal distribution. When one is small and the other large you get intermediate forms.
- F Test compares two means to see whether one is significantly different that the other
- The shape of the curve is defined by the degrees of freedom. The F distribution takes two d.f. values
4. What is the definition of a critical value?
- A value that distinguishes significant from non significant differences at a specified level of confidence
- A value that distinguishes from the two non significant values
- A value that distinguishes from the two significant values
5. What is the dummy variable?
- The value that is used to represent the sum of the equation
- It is shown by the subscript of j next to the sigma sign but not in the rest of the equation.
- It is shown in the equation, in front of each variable
- The value that is shown before the equation