Unit 1: Interpreting Categorical and Quantitative Data

Mean, Median, IQR

Mean- the average of all the numbers in your data set

*Take the sum of the data set and divide it by a number of numbers into your data. 

Median- the middle value or midpoint of a data set.

Interquartile Range- a measure of variability, based on dividing a data set into quartiles.

Standard Deviation 

Variance- measures the data distributes itself around

Standard- a measure that used to quantify the amount of variation of a data set.

*take the square root of the variance to find the deviation.

Formula used: E(x-m)^2

                             n

E= sigma (sum)

x= each number in data set

m= mu (mean of the data set)

n= amount of numbers in set

Bar Charts vs. Histograms

Bar Charts- columns are position over a label that represents a categorical variable.

-height determines the size of the group

Histograms-columns position over a label that represents a quantitative variable

-height indicates the size of the group

Data Shape Vocab

center- the point where data have the date is on both sides.

spread- refers to the variability of the data

shape- of the distribution is described by.

symmetry- a symmetric distribution can be divided at the center so each half is a mirror image of the other.

Number of peaks

unimodal- one clear peak (when in the center- called bell-shaped)

bimodal-two clear peaks

skewness- when one side of the distribution has more observations than the other
skewed right- fewer observations on the left
skewed left- fewer observations on the right.
uniform- when observations are equally spread across the range of the distribution
gaps - areas where there are no observations
outliers- extreme value