definition of mode (according to wikipedia):
the mode is the value that occurs the "most frequently" in a data set or a probability distribution.
think about it...
a. 1, 2, 3, 4, 5, 6, 7
b. 1, 2, 2, 3, 3, 6, 7
c. 1, 1, 2, 2, 3, 3, 7
a. There is no mode.
b. There are two modes.
c. There are three modes.
the mode is the value that occurs the "most frequently" in a data set or a probability distribution.
think about it...
a. 1, 2, 3, 4, 5, 6, 7
b. 1, 2, 2, 3, 3, 6, 7
c. 1, 1, 2, 2, 3, 3, 7
Anonymous' example of a is correct. However, to be bimodal, the most frequent scores must be separated.
b. 1, 1, 2, 3, 4, 4, 5, 6, 7
c. 1, 1, 2, 3, 4, 4, 5, 6, 7, 7
What are the values in your set?
To find the mode(s) of a given data set, you can follow these steps:
1. Sort the data set in ascending order.
2. Count the frequency of each unique value in the data set.
3. Identify the value(s) that appear(s) with the highest frequency. These value(s) will be the mode(s) of the data set.
Now let's analyze each statement:
a. There is no mode.
If there is no value that appears more frequently than any other value in the data set, then this statement would be correct. However, to determine this, we need to calculate the mode(s) using the steps mentioned above.
b. There are two modes.
This statement could be correct if two distinct values occur with the same highest frequency, meaning there are two values that appear most frequently in the data set.
c. There are three modes.
This statement could be correct if three distinct values occur with the same highest frequency, meaning there are three values that appear most frequently in the data set.
In summary, the correct statement(s) will depend on the actual data set and the values that appear most frequently. By following the steps to calculate the mode(s), we can determine the accuracy of each statement.