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Constructing Descriptive Stats and Data Visualization
1.
Diversity in Datasets:
(d) e constructing Descriptive Statistics and Data Visualization Douglas James Joubert National Institutes of Health Library
2.
3.
Before you Survey
Consult with a Statistician Vital to your success Great way to collaborate
4.
Analysis Always Follows
Design Johnson (2005) Question Hypothesis Experimental Design Samples Data Analysis
5.
Descriptive Statistics Location
Spread (Dispersion) Shape of the Distribution Mean Mode Median SD Variance COV Skewness (+ or -) Kurtosis
6.
7.
Reducing Measurement Error
Triangulate Different measures for same construct X2 X1
8.
9.
10.
Hierarchy of Measurement
Ratio Interval Ordinal Nominal Trochim (2001) Absolute Zero Distance is meaningful Characteristics can be ordered Classification is arbitrary
11.
12.
13.
14.
15.
Categorical Frequency distributions
A O B A AB AB A A B B O O O A B AB 16 Total 3 AB 4 O 4 B 5 A Frequency f Class
16.
Ungrouped Frequency distributions
161 155 103 103 Birth weight data in (oz) 101 100 98 98 89 94 94 93 91 88 88 67 64 64 58 32
17.
Ungrouped Frequency distributions
… 1 93 1 91 2 88 1 67 2 64 1 58 1 32 Count (Frequency f) Birth weight
18.
19.
20.
Grouped Frequency Distribution
of CA patients *=(E2/ $E$ 8)*100, in Excel to force absolute reference 1.00 .1463 .1498 .2439 .2055 .2473 0.0696 rf* 287 245 202 132 73 2 cf 287 Total .9997 42 More .8534 43 40 – 50 .7036 70 30 – 40 .4597 59 20 – 30 .2542 71 10 – 20 .0696 2 0 – 10 crf Frequency Age
21.
22.
23.
24.
25.
Simple Bar Chart
Nominal data
26.
27.
Stacked Bar Chart
28.
29.
Histogram of Family
Terms
30.
Histogram Std Err
Bars Normal Dist Fit
31.
32.
33.
Pareto Chart SAS
(1990)
34.
2-Way Comparative Pareto
Chart SAS (1990)
35.
36.
37.
38.
Simple Scatterplot SAS
(1989–2004)
39.
40.
41.
Outlier Box Plot
Possible Outliers IQR Largest value not an outlier Smallest value not an outlier 75th 25th 50 th (median)
42.
Quantile Box Plot
43.
44.
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