The points scored by a football team are 17, 23, 15, 21, 7, and 13. What is the range?
Sample 1 : 346, 154, 500
Sample 2 : 248, 252, 500
Total : 500
Candidate A : 346, 248
Candidate B : 154, 252
Total : 500
What percentage of the total polled residents would vote for Candidate A as the town mayor?
The range of the points scored by the football team is 16 (23-7).
To find the percentage of residents who would vote for Candidate A, we need to first find the total number of residents polled. Adding up the totals from both samples, the total number of polled residents is 1000 (500 + 500).
Next, we need to find the number of residents who would vote for Candidate A. From Sample 1, we have 2 out of 3 residents who would vote for Candidate A, which is 66.67%. From Sample 2, we have 1 out of 3 residents who would vote for Candidate A, which is 33.33%. Adding these percentages together, we get a total of 100% of residents who were polled.
Therefore, the percentage of polled residents who would vote for Candidate A as the town mayor is 66.67%.
To calculate the range of the points scored by the football team, you need to find the difference between the highest and lowest scores.
Highest score = 23
Lowest score = 7
Range = Highest score - Lowest score
Range = 23 - 7
Range = 16
Therefore, the range of the points scored by the football team is 16.
To calculate the percentage of the total polled residents who would vote for Candidate A as the town mayor, you need to find the percentage of the total number of votes received by Candidate A out of the total number of votes polled.
To do this, divide the total number of votes received by Candidate A (346 + 248 = 594) by the total number of votes polled (500), then multiply the result by 100.
Percentage = (Votes received by Candidate A / Total number of votes polled) x 100
Percentage = (594 / 500) x 100
Percentage = 1.188 x 100
Percentage = 118.8
Therefore, approximately 118.8% of the total polled residents would vote for Candidate A as the town mayor. Please note that percentages over 100% may indicate a mistake in the data or calculation.