A researcher obtains a negative value for a chi-square statistic. What can you conclude because the value is negative?
A) The observed frequencies are consistently larger than the expected frequencies.
B) The expected frequencies are consistently larger than the observed frequencies.
C) There are large differences between the observed and expected frequencies.
D) The researcher made a mistake; the value of the chi-square cannot be negative.
Question 2
Why are t statistics more variable than z-scores?
A) The extra variability is caused by variations in the sample mean.
B) The extra variability is caused by variations in the sample variance.
C) The extra variability is caused by variations in the df value.
D) The extra variability is caused by the large sample size.
How to complete the square
The inverse-square law and its effects. Doubling your distance away from a radioactive material ...
The cell wall of a Gram-negative bacterium, E. coli
The Chi-Square Table
Punnett square