Question

the following data show the ages of recent award - winning male actors at the time when they won their award. make a frequency table for the data, using bins of 20 - 29, 30 - 39, and so on. click the icon to view the ages of male actors. complete the table below. age no. of actors 20 - 29 □ 30 - 39 □ 40 - 49 □ 50 - 59 □ 60 - 69 □ 70 - 79 □

Explanation:

To solve this, we need the actual ages of the male actors (the data from the icon). Since the data isn't provided here, we can outline the general process:

Step 1: Obtain the data

Retrieve the list of ages of the award - winning male actors.

Step 2: Count frequencies for each bin

• For the bin 20 - 29: Go through each age in the data set and count how many ages are greater than or equal to 20 and less than 30. Let this count be \( f_{20 - 29}\).
• For the bin 30 - 39: Count how many ages are greater than or equal to 30 and less than 40. Let this count be \( f_{30 - 39}\).
• For the bin 40 - 49: Count how many ages are greater than or equal to 40 and less than 50. Let this count be \( f_{40 - 49}\).
• For the bin 50 - 59: Count how many ages are greater than or equal to 50 and less than 60. Let this count be \( f_{50 - 59}\).
• For the bin 60 - 69: Count how many ages are greater than or equal to 60 and less than 70. Let this count be \( f_{60 - 69}\).
• For the bin 70 - 79: Count how many ages are greater than or equal to 70 and less than 80. Let this count be \( f_{70 - 79}\).

For example, if the ages of the actors are: 25, 32, 35, 41, 45, 50, 52, 61, 65, 72

• 20 - 29: Only 25, so \( f_{20 - 29}=1\)
• 30 - 39: 32, 35, so \( f_{30 - 39}=2\)
• 40 - 49: 41, 45, so \( f_{40 - 49}=2\)
• 50 - 59: 50, 52, so \( f_{50 - 59}=2\)
• 60 - 69: 61, 65, so \( f_{60 - 69}=2\)
• 70 - 79: 72, so \( f_{70 - 79}=1\)

Since the actual data is not provided in the question, you need to get the data from the icon (the list of ages of male actors) and then follow the above - mentioned counting process to fill in the frequency table.

If we assume a sample data (for illustration purposes only, as the real data is missing), the table could be like:

Age	No. of actors
30 - 39	2
40 - 49	2
50 - 59	2
60 - 69	2
70 - 79	1

But to get the correct answer, you must use the actual data provided in the icon.

Answer:

To solve this, we need the actual ages of the male actors (the data from the icon). Since the data isn't provided here, we can outline the general process:

Step 1: Obtain the data

Retrieve the list of ages of the award - winning male actors.

Step 2: Count frequencies for each bin

• For the bin 20 - 29: Go through each age in the data set and count how many ages are greater than or equal to 20 and less than 30. Let this count be \( f_{20 - 29}\).
• For the bin 30 - 39: Count how many ages are greater than or equal to 30 and less than 40. Let this count be \( f_{30 - 39}\).
• For the bin 40 - 49: Count how many ages are greater than or equal to 40 and less than 50. Let this count be \( f_{40 - 49}\).
• For the bin 50 - 59: Count how many ages are greater than or equal to 50 and less than 60. Let this count be \( f_{50 - 59}\).
• For the bin 60 - 69: Count how many ages are greater than or equal to 60 and less than 70. Let this count be \( f_{60 - 69}\).
• For the bin 70 - 79: Count how many ages are greater than or equal to 70 and less than 80. Let this count be \( f_{70 - 79}\).

For example, if the ages of the actors are: 25, 32, 35, 41, 45, 50, 52, 61, 65, 72

• 20 - 29: Only 25, so \( f_{20 - 29}=1\)
• 30 - 39: 32, 35, so \( f_{30 - 39}=2\)
• 40 - 49: 41, 45, so \( f_{40 - 49}=2\)
• 50 - 59: 50, 52, so \( f_{50 - 59}=2\)
• 60 - 69: 61, 65, so \( f_{60 - 69}=2\)
• 70 - 79: 72, so \( f_{70 - 79}=1\)

Since the actual data is not provided in the question, you need to get the data from the icon (the list of ages of male actors) and then follow the above - mentioned counting process to fill in the frequency table.

If we assume a sample data (for illustration purposes only, as the real data is missing), the table could be like:

Age	No. of actors
30 - 39	2
40 - 49	2
50 - 59	2
60 - 69	2
70 - 79	1

But to get the correct answer, you must use the actual data provided in the icon.