Physics and Math Chapter 12: Data-based and Statistical Reasoning Flashcards

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1
Q

Measurements of central tendency

A

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

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2
Q

Arithmetic mean or average

A

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

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3
Q

Median

A

Value that lies in the middle of the data set. 50% of 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

Distributions

A

have characteristic features that are exemplified by their shape. Distributions can be classified by measures of central tendency and measures of distribution.

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6
Q

Normal distribution

A

symmetrical - mean, median and mode are all the same in the normal distribution.
- 68% of points occur within one standard deciation of the mean, 95% within 2 and 99% within 3.

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7
Q

Standard normal distribution

A

normal distribution with a mean of 0 and a standard deviation of 1; used for most calculations

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8
Q

Skewed distributions

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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9
Q

Bimodal distributions

A

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

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10
Q

Range

A

the difference between the larges and smallest values in a data set

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11
Q

Interquartile range

A

the difference between the value of the third quartile and first quartile 0 interquartile range can be used to determine outliers

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12
Q

Standard deviation

A

a measurement of variability about the mean; can also be used to determine outliers.

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13
Q

Outliers may be a result of:

A

true population variability, measurement error or a non-normal distribution

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14
Q

Prob of Independent Events

A

Does not change based on the outcomes of other events

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15
Q

Mutually exclusive outcomes

A

cannot occur simultaneously

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16
Q

Hypothesis tests

A

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

17
Q

p-value

A

determines whether or not a finding is statistically significant at a specific significance level. - generally sl = 0.05

18
Q

Confidence intervals

A

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