Continuous data are measurements that can take any value within a range, including decimals and fractions. They are not restricted to defined separate values, but can occupy any value over a continuous range.

1. Number of runners in a 100 m race: This is not continuous data. The number of runners can only be a whole number. You can't have 2.5 runners in a race, for example.

2. Number of spectators watching a 100 m race: This is also not continuous data. The number of spectators, like the number of runners, can only be a whole number.

3. Time taken to run 100 m: This is continuous data. Time can be measured in infinitely precise units, and a runner could take any number of seconds (or fractions of seconds) to complete the race.

4. The date on which the 100 m race is run: This is not continuous data. Dates are discrete and cannot take any value within a range. They are specific points in time.

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Continuous data are measurements that can take any value within a range, including decimals and fractions. They are not restricted to defined separate values, but can occupy any value over a continuous range.

1. Number of runners in a 100 m race: This is not continuous data. The number of runners can only be a whole number. You can't have 2.5 runners in a race, for example.

2. Number of spectators watching a 100 m race: This is also not continuous data. The number of spectators, like the number of runners, can only be a whole number.

3. Time taken to run 100 m: This is continuous data. Time can be measured in infinitely precise units, and a runner could take any number of seconds (or fractions of seconds) to complete the race.

4. The date on which the 100 m race is run: This is not continuous data. Dates are discrete and cannot take any value within a range. They are specific points in time.

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Continuous data are measurements that can take any value within a range, including decimals and fractions. They are not restricted to defined separate values, but can occupy any value over a continuous range.

1. Number of runners in a 100 m race: This is not continuous data. The number of runners can only be a whole number. You can't have 2.5 runners in a race, for example.

2. Number of spectators watching a 100 m race: This is also not continuous data. The number of spectators, like the number of runners, can only be a whole number.

3. Time taken to run 100 m: This is continuous data. Time can be measured in infinitely precise units, and a runner could take any number of seconds (or fractions of seconds) to complete the race.

4. The date on which the 100 m race is run: This is not continuous data. Dates are discrete and cannot take any value within a range. They are specific points in time.

Which of the following are continuous data?Number of runners in a 100 m race.Number of spectators watching a 100 m race.Time taken to run 100 mThe date on which the 100 m race is run.

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