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What is an example of data?
data is saved info or marked info. on a grid each unit is a sq. mile. a lot has 3x7 units witch is an area of 21 sq. miles. if written on a real grid paper that would be marked data. saved data are stuff you saved on an electronic device.
What is the difference between attribute and variable?
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.
How do you the mode in a set of data?
The mode is the most common value in a set of data. A set of data may not have a mode (for example, if each value is listed once, then there is no mode since no one value is more common than another), or a set of data may have more than one mode (for example, if there are 3 different values that are each listed 5 times in a set of data, then each value is a mode). Example (no mode): {1, 2, 3, 4, 5} no mode Example (1 mode): {1, 1, 1, 2, 3, 4, 4, 5} mode is 1 Example (more than 1 mode): {1, 1, 1, 2, 3, 3, 4, 4, 4, 5} modes are 1 and 4 Example (more than 1 mode): {1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 5, 5, 5} modes are 1, 2, 4, 5
Would data set on ethnic groups be a qualitative variable?
Some variables in the data set might be qualitative, others might not. For example, if one were to sample newly arrived immigrants to Toronto, Canada and create a data set of information about them one could include both qualitative and quantitative data. One might measure each person's height which would be quantitative, and observe each person's eye colour, which would be qualitative.
What is Dependent Sampling method?
Data gathered in two different samples in such a way that there is a matching of the first sample data drawn and a corresponding data value in the second sample data. For example, compare two sample means, one for the first exam of the semester and the second for the second exam of the semester, match via the student taking each test.
