Answer:
b
Step-by-step explanation:
because b look like a great answer
Answer:
<u>II. Second table</u>
A B Total
C 0.25 0.75 1.00
D 0.35 0.65 1.00
Total 0.30 0.70 1.00
Explanation:
<h2>Tables</h2>
<u>I. First table </u>
A B Total
C 0.25 0.25 0.50
D 0.25 0.25 0.50
Total 0.50 0.25 1.00
<u>II. Second table</u>
A B Total
C 0.25 0.75 1.00
D 0.35 0.65 1.00
Total 0.30 0.70 1.00
<u>III. Third table</u>
<u></u>
A B Total
C 0.75 0.25 0.50
D 0.25 0.75 0.50
Total 0.50 0.50 1.00
<u>IV. Fourth table</u>
A B Total
C 0.65 0.35 1.00
D 0.35 0.65 1.00
Total 1.00 1.00 1.00
<h2>Solution</h2>
A <em>conditional relative frequency table</em> shows the relative frequencies determined upon a row or column.
There are two types of relative conditional frequency table: 1) row conditional relative frequency, and 2) column conditional relative frequency.
When you divide the joint frequency by the marginal frequency of the column total you have the row conditional frequency table. When you dividethe joint frequency by the row total you have the colum conditional frequency table.
In a row conditional relative frequency each total of the right hand column equals 1. This is the case of the second table.
In a column conditional relative frequency each total of the bottom row equals 1. This is not happening with any of the shown tables.
Hence, only the second table could be a conditional relative frequency table.
Answer: ∠A ≅ ∠A; reflexive property
Step-by-step explanation: found it online :)
Answer:
He earned 110287.3536 dollars
Answer:
12.7
Step-by-step explanation:
