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The following data represents the age of 30 lottery winners.
\begin{tabular}{|l|l|l|l|l|l|}
\hline 21 & 28 & 29 & 31 & 33 & 33 \\
\hline 34 & 34 & 35 & 41 & 46 & 46 \\
\hline 51 & 51 & 53 & 53 & 55 & 57 \\
\hline 58 & 58 & 60 & 62 & 62 & 65 \\
\hline 69 & 70 & 70 & 74 & 75 & 83 \\
\hline
\end{tabular}

Complete the frequency distribution for the data.
\begin{tabular}{|c|l|}
\hline Age & Frequency \\
\hline [tex]$20-29$[/tex] & \\
\hline [tex]$30-39$[/tex] & \\
\hline [tex]$40-49$[/tex] & \\
\hline [tex]$50-59$[/tex] & \\
\hline [tex]$60-69$[/tex] & \\
\hline [tex]$70-79$[/tex] & \\
\hline [tex]$80-89$[/tex] & \\
\hline
\end{tabular}

Sagot :

To complete the frequency distribution for the given ages of lottery winners, we need to count how many ages fall into each of the provided age ranges: [tex]\(20-29\)[/tex], [tex]\(30-39\)[/tex], [tex]\(40-49\)[/tex], [tex]\(50-59\)[/tex], [tex]\(60-69\)[/tex], [tex]\(70-79\)[/tex], and [tex]\(80-89\)[/tex].

Here is a detailed count for each age range:

1. Ages 20-29:
- The ages in this range are: 21, 28, 29.
- Count: 3

2. Ages 30-39:
- The ages in this range are: 31, 33, 33, 34, 34, 35.
- Count: 6

3. Ages 40-49:
- The ages in this range are: 41, 46, 46.
- Count: 3

4. Ages 50-59:
- The ages in this range are: 51, 51, 53, 53, 55, 57, 58, 58.
- Count: 8

5. Ages 60-69:
- The ages in this range are: 60, 62, 62, 65, 69.
- Count: 5

6. Ages 70-79:
- The ages in this range are: 70, 70, 74, 75.
- Count: 4

7. Ages 80-89:
- The age in this range is: 83.
- Count: 1

Using those counts, we can fill in the frequency distribution table as follows:

[tex]\[ \begin{tabular}{|c|c|} \hline \text{Age} & \text{Frequency} \\ \hline $20-29$ & 3 \\ \hline $30-39$ & 6 \\ \hline $40-49$ & 3 \\ \hline $50-59$ & 8 \\ \hline $60-69$ & 5 \\ \hline $70-79$ & 4 \\ \hline $80-89$ & 1 \\ \hline \end{tabular} \][/tex]

So, the frequency distribution for the given data of ages is as above.