Question

Provide some examples of how your company uses these types of metrics to support decision making or how they should be using it. a) The use of categorical data vs quantitative data b) The diffrence between a frequency table and a relative frequency table. c) The diffrence between a bar chart and a histogram d) Discuss the application of simpsions paradox to unaggregated data and its impact on drawing conclusions from aggregated data.

Answer 1

a) the categorical data is non-quantitative data and it's deals with descriptions,in this categorical data will be observed but not mesured It can be use of observable manner

examples:( colors,smells, tastes,appearence ..)

the quatitative data deals with numbers anduse of quatitative data will be observed as well as measured

example (length,volume, weight ...will be measured)

b)difference of frequency table and relative frequency table is frequency table is constructed by arranging collected data values in ascending order of magnitude with their corresponding frequencies,a frequency relative table is a chart that shows the popularity or mode of a certain type of data based on the population.

c) in bar graphs each column represents a group defined by a catergorical varible.

in histograms each column represents a group defined by a quantitative variable.

one implication of this distinction ;it is alwaus appropriate to talk about the skewness of a histogram;

i.e the tendency of the observations to fall more on the low end or the high end of the high end of the x axis.

with bar charts, the x axis doesnot have a low end or high end because the lables on the x axis are categorical.it is not the skewness of barchart

d) coclusions drawn from two or more separate cross tabulations that can be reversed when the data are aggregated into a single crosstabulation.