0701 Flashcards

1
Q

What are dichotomous variables?

A

Two possible variables, i.e. Yes/No, Dead/Alive, Employed/Unemployed, etc.

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2
Q

What are two other terms for dichotomous variables?

A

Indicator or binary variables.

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3
Q

What are categorical variables?

A

Variables with a fixed number of response options that have no inherent order to them, such as religious affiliation.

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4
Q

What graphic best describes categorical variables?

A

A bar chart.

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5
Q

What is another term for categorical variables?

A

Nominal variables.

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6
Q

What are ordinal variables?

A

More that two variables and the variables have an order or implicit ranking, such as <30 minutes, 30-180 minutes, >180 minutes.

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7
Q

What graphic best describes ordinal variables?

A

A histogram.

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8
Q

What are continuous variables?

A

Variables that assume any value between a given minimum and a maximum. These are very common in biological measurements, such as systolic blood pressure or weight.

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9
Q

What is another term for continuous variables?

A

Measurement variables.

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10
Q

What graphic best describes a continuous variable?

A

A box and whisker plot.

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11
Q

What are percentages also referred to as?

A

Frequencies.

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12
Q

What is the mean?

A

Typical averaging.

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13
Q

What is the median?

A

The center most value in odd numbers, the split between even numbers.

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14
Q

x denotes what?

A

The variable we are analyzing.

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15
Q

x with a line over it (x-bar) denotes what?

A

The mean.

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16
Q

If there is an extreme difference between the mean and median, is the mean or median a better representation?

A

The median.

17
Q

If the is a typical value or central tendency, is the mean or median a better representation?

18
Q

What is the sample variance formula?

A

Sigma (x-xbar)^2 divided by n-1.

19
Q

What is the standard deviation formula

A

The square root of the sample variance.

20
Q

What is the critical measure of variability and dispersion in data when we are looking at continuous measurements?

A

The standard deviation.

21
Q

What is the empirical rule approximates?

A

68%, 95%, and 99.7%.

22
Q

A symmetric distribution is one where?

A

The mean is equal to the median (bell-shaped curve), in which we’d find no outliers.

23
Q

How would we summarize the distribution of a symmetric distribution?

A

Sample mean and standard deviation.

24
Q

A skewed distribution is one where?

A

There are outliers.

25
How would we summarize distribution of a skewed distribution?
Median and interquartile range.
26
What part of the curve indicates the skewed distribution?
The tail, e.g., a right-skewed distribution would have the bulge on the left and the tail on the right.
27
What type of exposure is genetics, ancestry, race and ethnicity?
Constituent exposures.
28
What is the critical window of vulnerability?
An exposure occurs in the context of human development that is very important in terms of the health outcome.
29
What are the three essential attributes of a cause?
Association, Time Order, and Direction.
30
False explanations for association are?
Random error, Bias, Confounding, and Effect Measure Modification (EMM).
31
What is confounding?
An outcome that is unequally distributed between comparison groups.
32
What is Effect Measure Modification?
EMM is an outcome that ignores a third variable, i.e. exposure leads to a disease without considering the difference between men and women.
33
What is the formula for outliers?
Q3+(1.5x1QR) and Q1-(1.5xIQR).
34
What is the formula for determining IQR?
Q3-Q1=IQR.
35
How is Q1 and Q3 determined?
They are defined as the median to the side of the Q2 median.
36
How is Q2 determined?
It is the median.
37
Outliers may be described in the context of standard deviation as?
The mean +/- three times the standard deviation, in each direction, e.g. 11+/- (3x13) 11+33=44, 11-33=-22.
38