Data-based and statistical reasoning Flashcards

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1
Q

Measures if central tendency

A

provide a single value representation for the middle of a group data

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2
Q

arithmetic mean or average

A

measure of central tendency that equally weighs all values; it is most affected by outliers

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3
Q

median

A

the value that lies in the middle of the data set. Fifty percent of data points are above and below the median

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4
Q

mode

A

the data point that appears most often; there may be multiple (or zero) modes in a data set

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5
Q

Normal distribution

A

is symmetrical. The mean, median, and mode are all the same in the normal distribution.

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6
Q

standard distribution

A

is normal distribution with a mean of zero and a standard deviation of one; it is used for most calculations. 68% of data points occur within one standard deviation of the mean, 95 % within tow, and 99% within three.

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7
Q

Skewed distribution

A

have differences in their mean, median, and mode; the skew direction is the direction of the tail of the distribution.

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8
Q

Bimodal distributions

A

have multiple peaks, although not necessarily multiple modes, strictly speaking. It may be useful to preform data analysis on the two groups separately.

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9
Q

Range

A

is the difference between the largest and smallest values in a data set.

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10
Q

Interquartile range

A

the difference between the value of the third quartile and first quartile; interquartile range can be used to determine outliers.

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11
Q

Standard deviation

A

a measurement of variability about the mean; standard deviation can also be used to determine outlier

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12
Q

outliers

A

may be a result of true population variability, measurement error, or a non-normal distribution

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13
Q

independent events

A

the probability does not change based on outcomes of other events

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14
Q

dependent events

A

changes depending on the outcomes of other evens

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15
Q

mutually exclusive outcomes

A

cannot occur simultaneously

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16
Q

exhaustive

A

there are no other possible outcomes

17
Q

hypothesis test

A

use a known distribution to determine wether a hypothesis of no difference (the null hypothesis) can be rejected

18
Q

statistical significance

A

comparison of p-value and selected significance level

19
Q

Confidence intervals

A

are a range of values about a sample mean that are used to estimate the population mean. A wider interval is associated with a higher confidence level.

20
Q

Graphs for categorical comparison

A

pie charts and bar charts

21
Q

graphs for numerical data

A

histograms and box plots (box and whisker plots)

22
Q

Linear, semilog, and log log plots

A

can be distinguished by their axes

Δy/Δx

23
Q

slope

A

can be calculated most easily form linear plots

24
Q

tables

A

contains related or unrelated categorical data.

25
Q

arithmetic mean

A

sum of x/n

26
Q

median position

A

(n=1)/2

27
Q

range

A

xmax - xmin

28
Q

interquartile range

A

IQR (Q3 - Q1)

29
Q

standard deviation

A

sqrt ( (xi - x)^2 / (n - 1) ) . x is the mean .

30
Q

probability of two independent events

A

P(A and B) = P(A) x P(B)

31
Q

probability of at least one event occurring

A

P(A or B) = P(A) + P(B) - P(A and B)