Data & Interpretation Flashcards

1
Q

Statistics

A

The science whereby inferences are made about specific phenomena on the basis of relatively limited sample material

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2
Q

What are two main areas of statistics and define.

A
  1. mathematical statistics - the development of new methods of statistical inference and requires detailed knowledge of abstract mathematics for its implementation
  2. applied statistics- involves applying the methods of mathematical statistics specific subject areas, such as economics, psychology, and public health
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3
Q

Biostatistics

A

The branch of applied statistics that applies statistical methods to medical and biological problems.

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4
Q

Frequency Distribution

A

Lists each value in the data and how frequently it occurs

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5
Q

Continuous Distribution

A

Infinite number of possible values

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6
Q

Discrete Distribution

A

Only a few possible values

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7
Q

Inferential Statistics

A

Used to determine if differences in outcome variables in your data are real or simply due to chance

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8
Q

Error of the estimate

A

The difference between your sample data estimate and the true population measure for the variable in question

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9
Q

Measure of Location

A

Summarizes data by defining the center, or middle, of the sample

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10
Q

Mean (average)

A

The sum of all observations divided by the number of observations

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11
Q

Median

A

The middle score

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12
Q

Mode

A

The most frequently occurring value among all of the observations in a sample

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13
Q

Variability of a sample

A

The spread of the data

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14
Q

List four examples of measures of spread

A
  1. Range
  2. Quantiles
  3. Variance
  4. Standard Deviation
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15
Q

Range

A

The difference between the largest and smallest observation in a sample.

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16
Q

How to calculate percentile

A

1) The (k +1)th largest sample point if np/100 is not an integer (where k is the largest integer less than np/100).
2) The average of the (np/100)th and (np/100 =1)th largest observations if n*p/100 is an integer.

17
Q

Mean deviation

A

The difference between an individual sample and the mean

18
Q

Variance

A

The variance(known as 𝑠2) is the sum of the differences of each data point from the mean, squared and divided by N-1

19
Q

Standard Deviation

A

The measure of the spread of scores within a set of data. The square root of the variance

20
Q

Coefficient of variation (CV)

A

Relates the mean and standard deviation to each other. Useful for comparing the variability of several different samples, each with different means.

21
Q

Frequency Distribution

A

An ordered display of each value in a data set together with its frequency

22
Q

Probability

A

The relative frequency of this set of outcomes over an indefinitely large (or infinite) number of trials

23
Q

Sample Space

A

Set of all possible outcomes

24
Q

Event

A

Any set of outcomes of interest

25
Q

What are the two basic properties of probabilities

A
  1. The probability of an event E, denoted by Pr(E), always satisfies 0 le PR(E) le 1.
  2. If outcomes A and B are two events that cannot both happen at the same time, the PR (A or B occurs) = PR(A) + PR(B).
26
Q

Mutually Exclusive

A

Events cannot both happen at the same time

27
Q

The multiplication law of probability

A

If two events are independent, then

Pr(A∩B) = Pr(A) x Pr(B)