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Flashcards testing concepts, definitions, formulas, and rules of thumb for univariate quantitative exploratory data analysis based on lecture slides.
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According to the NIH, breastfeeding mothers lose an average of __________ of their bone density during breastfeeding.
4%
In the study setup, percent bone loss is classified as a __________ quantitative variable because it can take any numerical value, including decimals.
continuous
A variable such as the number of bedrooms is an example of a __________ quantitative variable.
discrete
A variable such as the college of your major is classified as a __________ variable.
categorical
Exploratory Data Analysis (EDA) is the process of understanding your data through pictures and __________ summaries.
numerical
The __________ of a variable describes what values the variable can take and how often it takes those values.
distribution
Histograms are always described using three key characteristics: shape, center, and __________.
spread

In the provided graphs, changing the __________ size alters the appearance and detail of the histogram.
bin
A density plot is a smoothed out continuous histogram, and the total area under a density curve is always equal to __________.
1
The statistical measure of center that acts as the physical balancing point for a histogram is the __________.
mean
The sample mean is denoted by yˉ, while the population parameter mean is denoted by the Greek letter __________.
μ
The five numbers included in a 5 Number Summary are Min, Q1, Median (Q2), Q3, and __________.
Max
A boxplot is a graphical plot of the __________ Number Summary.
5
The Interquartile Range (IQR) represents the spread of the middle __________ of the data.
50%
The mathematical formula for calculating the Interquartile Range is IQR=__________.
Q3−Q1
If all observations in a dataset are identical, the spread equal to __________.
0
If a dataset has a skewness value of −0.473, its distribution is considered __________ skewed.
left
According to the course rule of thumb, a distribution is considered close enough to symmetric if its skewness is between −0.5 and __________.
0.5
When data contains outliers and/or strong skewness, the preferred measures of center and spread to use are __________ and IQR.
median
When data has no outliers and is not strongly skewed, the preferred measures of center and spread are mean and __________.
standard deviation
According to the 1.5 IQR Rule, an observation is classified as an outlier if it is greater than Q3+1.5×IQR or less than __________.
Q1−1.5×IQR
In the Tipping dataset practice exercise, the lower cutoff for detecting outliers was calculated as __________.
15.7
In the Tipping dataset practice exercise, the upper cutoff for detecting outliers was calculated as __________.
21.3