Complete Solution
Categorical (Qualitative) data is either:
Nominal (stand alone/label); or
Ordinal (ordered/ranked)
Numerical (Quantitative) data is either:
Discrete (whole numbers)
Continuous (infinite options)
Ways to present categorical data:
Bar graphs (percentages labelled), Pie graphs, Cross tabulations, Stacked bar graph,
clustered bar charts
Range
Maximum - minimum
Variance
Squared deviation around the mean
Coefficient of variation
Relative measure of variability
A skewness value more than _____ its standard error is taken to indicate a
___________ departure from symmetry.
twice, significant
Left skew
Negative skew
Right skew
Positive skew
Kurtosis
Extent to which observations cluster around a central point and fatness of tails.
Empirical rule
Values for Z and t
Which distribution is the odd one out w.r.t. skewness?
A. Incomes
B. Household debt
C. Age when people retire
D. Capital value of publicly listed companies
very strong correlation
r > 0.9
strong correlation
0.75 < r < 0.9
moderate correlation
0.4 < r < 0.75
weak correlation
r < 0.4
critical value for negative, one-tailed test "<" (1 proportion)
-1.645