True False |
The degree of normality in the data. The degrees of freedom for the problem. The amount of variability in the data. The amount of difference between M and μM. |
Type I Type II Type III Type IV |
True False |
A skewed distribution will remain skewed however it is plotted. There are limits to the range of scores that can be fitted to a distribution. A distribution based on sample means will be normal. There will always be theoretical differences between distributions. |
There are no parameter values involved in a t-test. The t-test is more sensitive to minor differences between sample and population. With the t-test one can be confident of the normality of the data. The t-test requires no <known> parameter standard error of the mean. |
True False |
0.5 0.05 0.025 0
|
True False |
True Fals |
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