In a given sample there are some things that are the same in most of the variables within it. The number of instances in which a variable takes each of its possible values can be described by the frequency distribution. Take the test below and see how much you understand the frequency distribution shapes. All the best and keep on revising!
A frequency table transforms the raw scores by showing the means.
Frequency tables display patterns, organizing the data by how often each score occurs.
Raw scores are not based on the sample.
Raw scores do not represent the data.
Depending on the width of class intervals it is possible that some scores may not be counted in a grouped frequency table.
If the data set is large the grouped frequency table would be easier to decipher.
Because of overlapping class intervals, the total frequency for a grouped frequency table would exceed that of a frequency table.
It is generally harder to spot patterns in the data when using a grouped frequency table.
Interval; nominal
Ratio; scale
Nominal; scale
Nominal; ordinal
Symmetric.
Bell-shaped, symmetric, and unimodal.
Unimodal.
Bell-shaped.
Negatively skewed.
Normal.
Positively skewed.
Non-representative.
Skewed distribution.
Sampling distribution.
Probability distribution.
Normal distribution.
Bar graph
Frequency polygon
Not enough information is available to answer the question
Histogram
42.5
40
42.49
44.99
That most students did well on the exam but a few did very poorly.
That students were at the extreme; some did very well and others did very poorly.
That most students did poorly on the exam but a few did very well.
That there was very little variation in his class; everyone scored about the same.
Floor effects.
A large sample size.
A wide variety of participants.
Ceiling effects.
A positively skewed distribution.
A ceiling effect.
A normal distribution.
A floor effect.