The conditional relative frequency table below was generated by column from a frequency table comparing the gender of a student
to what the student chose to wear on a specific day. Which would most likely indicate an association between the categorical variables? The value of G is similar to the value of H. The value of B is similar to the value of E. The value of G is not similar to the value of H. The value of B is not similar to the value of E.
1 answer:
Answer:
The value of G is not similar to the value of H
Step-by-step explanation:
As we can see that the sum of all frequencies equal to 1
In the given figure, if we add these frequencies so it would appear as follows
Like
A + D + G = 1
B + E + H = 1
And it is mentioned that D is much less than E, so we assume that pants are most wear cloth than shorts for both the genders i.e female and male that results in G is more than H.
Hence, the third option is correct
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<span>A
student divided the given number by 100 that resulted to 28.003 in his chart.
So what we are looking for this situation is the value of the number before it
was divided by 100.
To get the value, simply multiply the result by 100
=> 28.003 x 100
=> 2800.3
by dividing 100 to the given number, we simply move the value to the right in a value of hundreds.
See attached Image.
</span>
To get the value, simply multiply the result by 100
=> 28.003 x 100
=> 2800.3
by dividing 100 to the given number, we simply move the value to the right in a value of hundreds.
See attached Image.
</span>