That would be FALSE.
The median is a robust statistic that can only move a little bit even given the largest outlier. A single outlier can affect the mean, the average, arbitrarily much.
When Bill Gates gives a talk at a school of 1000 people, the average wealth of the people in the school goes up by millions, but the median wealth of the people in the school hardly changes at all.
Answer:
If the null hypothesis is true in a chi-square test, discrepancies between observed and expected frequencies will tend to be small enough to qualify as a common outcome.
Step-by-step explanation:
Here in this question, we want to state what will happen if the null hypothesis is true in a chi-square test.
If the null hypothesis is true in a chi-square test, discrepancies between observed and expected frequencies will tend to be small enough to qualify as a common outcome.
This is because at a higher level of discrepancies, there will be a strong evidence against the null. This means that it will be rare to find discrepancies if null was true.
In the question however, since the null is true, the discrepancies we will be expecting will thus be small and common.
Answer:
C and D
Step-by-step explanation:
the answers are C and D.
Answer:
or 
Step-by-step explanation:
I assume you mean 
there is a common factor of 9 in the numerator and denominator so we can cancel out to form
is technically a correct answer, but I will go ahead to rationalize the denominator
multiply by some form of 1. this case, we will use 
as our 1.
* = 
=
