Exploratory Data Analysis for Univariate Quantitative Data

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Flashcards testing concepts, definitions, formulas, and rules of thumb for univariate quantitative exploratory data analysis based on lecture slides.

Last updated 3:40 AM on 9/15/26
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23 Terms

1
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According to the NIH, breastfeeding mothers lose an average of __________ of their bone density during breastfeeding.

4%4\%

2
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In the study setup, percent bone loss is classified as a __________ quantitative variable because it can take any numerical value, including decimals.

continuous

3
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A variable such as the number of bedrooms is an example of a __________ quantitative variable.

discrete

4
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A variable such as the college of your major is classified as a __________ variable.

categorical

5
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Exploratory Data Analysis (EDA) is the process of understanding your data through pictures and __________ summaries.

numerical

6
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The __________ of a variable describes what values the variable can take and how often it takes those values.

distribution

7
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Histograms are always described using three key characteristics: shape, center, and __________.

spread

8
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<p>In the provided graphs, changing the __________ size alters the appearance and detail of the histogram.</p>

In the provided graphs, changing the __________ size alters the appearance and detail of the histogram.

bin

9
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A density plot is a smoothed out continuous histogram, and the total area under a density curve is always equal to __________.

11

10
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The statistical measure of center that acts as the physical balancing point for a histogram is the __________.

mean

11
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The sample mean is denoted by yˉ\bar{y}, while the population parameter mean is denoted by the Greek letter __________.

μ\mu

12
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The five numbers included in a 5 Number Summary are Min, Q1, Median (Q2), Q3, and __________.

Max

13
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A boxplot is a graphical plot of the __________ Number Summary.

5

14
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The Interquartile Range (IQR) represents the spread of the middle __________ of the data.

50%50\%

15
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The mathematical formula for calculating the Interquartile Range is IQR=__________\text{IQR} = \text{\_\_\_\_\_\_\_\_\_\_}.

Q3−Q1Q_3 - Q_1

16
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If all observations in a dataset are identical, the spread equal to __________.

00

17
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If a dataset has a skewness value of −0.473-0.473, its distribution is considered __________ skewed.

left

18
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According to the course rule of thumb, a distribution is considered close enough to symmetric if its skewness is between −0.5-0.5 and __________.

0.50.5

19
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When data contains outliers and/or strong skewness, the preferred measures of center and spread to use are __________ and IQR.

median

20
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When data has no outliers and is not strongly skewed, the preferred measures of center and spread are mean and __________.

standard deviation

21
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According to the 1.5 IQR Rule, an observation is classified as an outlier if it is greater than Q3+1.5×IQRQ_3 + 1.5 \times \text{IQR} or less than __________.

Q1−1.5×IQRQ_1 - 1.5 \times \text{IQR}

22
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In the Tipping dataset practice exercise, the lower cutoff for detecting outliers was calculated as __________.

15.715.7

23
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In the Tipping dataset practice exercise, the upper cutoff for detecting outliers was calculated as __________.

21.321.3