Answer:
See attachment
Step-by-step explanation:
A relative frequency table is a table that displays the proportion or percentage of occurrences of each category relative to the total number of observations.
To complete the given relative frequency table, we need to fill in the missing values based on the given totals and the probabilities provided.
We are given that the row total for "Likes to fly" is 0.70, and the value for "Can drive" in this row is 0.32. Therefore, to find the value for "Cannot drive" in this row, subtract 0.32 from 0.70:
[tex]0.70-0.32=0.38[/tex]
Enter 0.38 in the "Cannot drive" cell in the first row.
To find the missing values in the "Do not like to fly" row, subtract the value in the "Likes to fly" cell from the corresponding total in each column:
[tex]0.45-0.32 = 0.13\\\\0.55-0.38=0.17\\\\1.00-0.70=0.30[/tex]
Enter 0.13, 0.17 and 0.30 in the "Do not like to fly" row from left to right.
Therefore, the completed table is:
[tex]\begin{array}{|c|l|l|l|}\cline{1-4}&\textsf{Can drive}&\textsf{Cannot drive}&\textsf{Row Totals}\\\cline{1-4}\textsf{Likes to fly}&0.32&0.38&0.70\\\cline{1-4}\textsf{Do not like to fly}&0.13&0.17&0.30\\\cline{1-4}\textsf{Colum totals}&0.45&0.55&1.00\\\cline{1-4}\end{array}[/tex]
