Exam #1: Biostatistics I Flashcards

1
Q

What are the six major reasons to study stats as a medical student?

A

1) To evaluate medical lit.
2) To communicate w/ patients
3) To communicate w/ peers
4) To evaluate your performance
5) To protect your practice from the MISuse of statistics
6) Conduct your own investigation

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2
Q

Where the two major divisions of the field of statistics?

A
  • Descriptive
  • Inferential
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3
Q

What is the purpose of descriptive statistics & what does the field involve?

A

Purpose is to describe data, which involves:

  • collecting data
  • presenting data
  • characterizing data
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4
Q

What is the purpose of inferential statistics & what does the field involve?

A

Purpose is to make decisions about population characteristics, which involves:

  • Estimation
  • Hypothesis testing

****This field uses the descriptive stats to make generalizations about the underlying population

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5
Q

What are experimental elements or units of analysis?

A

Objects upon which we collect data

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6
Q

What is the population?

A

All of the items of interest

*****Measurements that are based on a population are called “parameters.”

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7
Q

What is a variable?

A

Characteristic of an individual experimental unit

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8
Q

What is a sample?

A

Subset of the units of a population

******Measurements that are based on a sample are called “statistics.”

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9
Q

What is the difference between a categorical & quantitative variable?

A

Categorical= a numeric or character code that represents

  • Presence or absence of trait
  • Relative weight/ rank of thing being studied

Quantitative= numerical result of some measurement

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10
Q

What are the four scales of measurement?

A

1) Nominal scale*
2) Ordinal scale*
3) Interval scale**
4) Ratio**

*Categorical

**Quantitative

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11
Q

What is the nominal scale?

A

Categories observations e.g. male v.s. female

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12
Q

What is the ordinal scale?

A

Nominal variables that have an order or rank e.g. cancer stage

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13
Q

What is an interval scale?

A

Measurable difference between two observations e.g. temperature

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14
Q

What is a ratio?

A

Same as interval but with an absolute reference point

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15
Q

How are qualitative variables described/ presented?

A

Summary tables/ graphs

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16
Q

How are quantitative variables described/ presented?

A
  • Dot plot
  • Stem & leaf display
  • Frequency distribution
  • Histogram
17
Q

What is a class?

A

One of the categories into which qualitative data can be classified

18
Q

What is the class frequency?

A

Number of observations in the data set falling into a particular class

19
Q

What is the class relative frequency?

A

Frequency/ Total Observations

20
Q

What is the class percentage?

A

Class relative frequency x 100

21
Q

What is the difference between a bar graph and a histogram?

A

Bar graph= qualitative

Histogram= quantitative

22
Q

What is central tendency?

A

Tendency of the data to cluster or center about certain numerical values

23
Q

What is variability?

A

The spread of the data

24
Q

Write the symbols for mean for both sample and a population.

A
25
Q

Write the symbols for size for both sample and population.

A
26
Q

What is the difference between mean, median & mode?

A

Mean= average

Median= central # in data set

Mode= most commonly occuring

27
Q

Which measure of central tendency is most affected by extreme values?

A

Mean

28
Q

What measures of central tendency are NOT affected by extreme values?

A

Median & Mode

29
Q

For a data set, it is possible to NOT have a mode?

A

Yes, if one value does not occur more frequency than the others

30
Q

For a data set can there be more than one mode?

A

Yes, if two numbers occur with equal frequency, then there are two modes

31
Q

Draw the standard notation for standard deviation & variance for samples & populations.

A
32
Q

What is the only numerical summary value that can be used for qualitative data?

A

Mode

33
Q

What is the range?

A

Total spread of data

34
Q

What is the standard deviation?

A

Dispersion about a mean

35
Q

What is the variance?

A

Squared dispersion about a mean

36
Q

What is the relationship between mean & median when a data set is symmetric? Left-skewed? Right-skewed?

A

Symmetric= equal Left= Mean median

37
Q

What type of distribution must there be to apply the empirical rule?

A

Normal distribution

38
Q

What is the empirical rule?

A

68%= within 1 Std

95%= within 2 Std

99.7%= within 3 Std