Describe the study sample. Complete the following table to describe the study sample using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Total Sample (n = 4434) Age, years 49.93 (8.68) Male sex 1944 (43.84) Systolic blood pressure, mmHg 132.91 (22.42) Hypertension 3252 (73.34) Use of anti-hypertensive medication 144 (3.25) Current smoker 2181 (49.19) Total serum cholesterol, mg/dL 236.98 (44.65) Serum Glucose 82.19 (24.40) Stroke 415 (9.36) * Mean (Standard deviation) or n (%)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Describe the study sample.
Complete the following table to describe the study sample using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences.
|
Patient Characteristic* |
Total Sample (n = 4434) |
|
Age, years |
49.93 (8.68) |
|
Male sex |
1944 (43.84) |
|
Systolic blood pressure, mmHg |
132.91 (22.42) |
|
Hypertension |
3252 (73.34) |
|
Use of anti-hypertensive medication |
144 (3.25) |
|
Current smoker |
2181 (49.19) |
|
Total serum cholesterol, mg/dL |
236.98 (44.65) |
|
Serum Glucose |
82.19 (24.40) |
|
Stroke |
415 (9.36) |
* Mean (Standard deviation) or n (%)
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