Yes, there can be two means in a set of data if the data is divided into two distinct groups or populations that have different characteristics. Each group would have its own mean, and the overall set of data could have a mean that is the average of the means of the two groups.
A bi-modal data set is a data set that has two modes. In the data set 1, 2, 2, 3, 4, 4, 5 the mode is 2 AND 4. So it is a bi-modal data set. Hope that helps.
is a data set with same variables but observed from different group of respondents
A set of data has no mode when there is no number that occurs more frequently than another. The data set: 1, 2, 5, 5, 6 has a mode of 5. The data set: 1, 2, 3 has no mode.
It means the position [of an observation] in an ordered data set.
It means that 95% of the values in the data set falls within 2 standard deviations of the mean value.
It means it has two modes.
It means that there is little variability in the data set.
A bi-modal data set is a data set that has two modes. In the data set 1, 2, 2, 3, 4, 4, 5 the mode is 2 AND 4. So it is a bi-modal data set. Hope that helps.
is a data set with same variables but observed from different group of respondents
There is no limit to the number of outliers there can be in a set of data.
There can be two modes in a data set. For example, in the data set {0,1,2,3,3,4,5,5,9}, there are two modes: 3 and 5.
A set of data has no mode when there is no number that occurs more frequently than another. The data set: 1, 2, 5, 5, 6 has a mode of 5. The data set: 1, 2, 3 has no mode.
Yes there can be more than 2 modes in a data set. It is called multimodal.
50
It means the position [of an observation] in an ordered data set.
Yes
Yes. An example: the data set {1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 5} has median = Q1 = Q3 = 2.