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.

From the options provided:

1. Amount of traffic at rush hour: This can be considered continuous data because it can take any value within a range. For example, you can measure traffic in terms of the number of cars per minute, which could be any number, including decimals.

2. Favorite live music venue: This is not continuous data. It is categorical data because it involves categories or names of venues.

3. Number of languages spoken: This is not continuous data. It is discrete data because you can only speak a whole number of languages, not a fraction of a language.

4. Square footage of a house: This is continuous data because it can take any value within a range, including decimals.

So, the examples of continuous data from the options provided are "Amount of traffic at rush hour" and "Square footage of a house".

Question

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.

From the options provided:

1. Amount of traffic at rush hour: This can be considered continuous data because it can take any value within a range. For example, you can measure traffic in terms of the number of cars per minute, which could be any number, including decimals.

2. Favorite live music venue: This is not continuous data. It is categorical data because it involves categories or names of venues.

3. Number of languages spoken: This is not continuous data. It is discrete data because you can only speak a whole number of languages, not a fraction of a language.

4. Square footage of a house: This is continuous data because it can take any value within a range, including decimals.

So, the examples of continuous data from the options provided are "Amount of traffic at rush hour" and "Square footage of a house".

Knowee AI · Accepted Answer

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.

From the options provided:

1. Amount of traffic at rush hour: This can be considered continuous data because it can take any value within a range. For example, you can measure traffic in terms of the number of cars per minute, which could be any number, including decimals.

2. Favorite live music venue: This is not continuous data. It is categorical data because it involves categories or names of venues.

3. Number of languages spoken: This is not continuous data. It is discrete data because you can only speak a whole number of languages, not a fraction of a language.

4. Square footage of a house: This is continuous data because it can take any value within a range, including decimals.

So, the examples of continuous data from the options provided are "Amount of traffic at rush hour" and "Square footage of a house".

Which of the following items are examples of continuous data? Select all that apply.1 分Amount of traffic at rush hourFavorite live music venueNumber of languages spokenSquare footage of a house

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