WITH ACCURATE ANSWERS.
nominal variables ANS -Categorical variables that there is no natural order among the categories
ordinal variable ANS -Categorical variables where there is natural order among the categories (low-high)
interval ANS -A measurement which makes sense to talk about the difference between values but not
the ratio between values
ratio ANS -Quantitive variables where is makes sense to talk about the difference in ratios. (Income,
weight)
In ratios: ANS -Value 0 means the absence of quantity (income $0)
Distribution of a Variable ANS -Tells us what values the variables take and how often they take those
values
In intervals: ANS -Vale 0 does not mean the absence of value (temp = 0F)
Pie charts ANS -Emphasize how the different categories relate to the whole
Bar charts ANS -Emphasize how the different categories compare with each other
Histogram ANS -Breaking the range of values into intervals and count how many observations fall into
interval.
Stemplot(stem and leaf plot) ANS -Graphical display of quantitive data. Data is spread into "stem" and
"leaf". It retains the data and sorts.
, Boxplot ANS -Graphically represents the distribution of a quantitive variable. Visually displays the five
number summary and the observations classified as a suspected outlier.
Measures of Center ANS -Mode, mean, and median.
Mode ANS -The most commonly occurring value. Can be unimodal or bimodal
Mean ANS -The average of a set of observations.
The sum of observations divided by the number of observations. (x bar)
Median ANS -The midpoint of the distribution. (M)
Measures of soread ANS -Range, inter quartile range (IQR), standard deviation
How to find the median ANS --order the data smallest to largest
-if the number(n) of observations is odd (n+1)/2nd spot
-if the number(n) of observations is even we have two n/2 = spot & n/2 + 1 = spot
Measure of center that is sensitive to outliers ANS -Mean
Measure of center that is not sensitive to outliers ANS -Median
Symmetric distributions ANS -Mean and median will be approximately equal
skewed right ANS -Mean will be greater than the median
skewed left ANS -Mean will be less than the median