exam one Flashcards

1
Q

sample

A

SUBSET of the population to gain insight about the population

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2
Q

population

A

TOTAL set of measurements (unknown)

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3
Q

sample statistic

A

descriptive stats, sample of data (sample mean, sample variation, sample SD)

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4
Q

population parameters

A

descriptive measure of population (mean, variation, SD)

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5
Q

statistical inference

A

estimation, confidence intervals, hypothesis testing

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6
Q

histogram

A

bar chart to show quantitative data

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7
Q

frequency (f)

A

how many of each “class”

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8
Q

relative frequency

A

probabilities: f/n

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9
Q

cumulative frequency

A

∑fi

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10
Q

cumulative relative frequency

A

∑fi/n = 1

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11
Q

quantitative data

A

numerical quantity

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12
Q

qualitative data

A

quality or characteristic

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13
Q

discrete measurements

A

only a finite or countable number of variables

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14
Q

continuous measurements

A

infinite values corresponding to points on a line interval

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15
Q

four levels of measurement

A

nominal, ordinal, interval, ratio

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16
Q

nominal

A

lowest, only used to classify or categorize

17
Q

ordinal

A

rank/order

18
Q

interval

A

distances b/w consecutive numbers have meaning, data always numerical, zero is not fixed (temperatures)

19
Q

ratio

A

highest, absolute zero, the ration of two numbers is meaningful (height, weight, time, volume)

20
Q

measures of variation

A

range, variance, standard deviation, mean absolute deviation

21
Q

mutually exclusive

A

two or more events cannot occur at the same time; if one happens, the other cannot

22
Q

statistically independent

A

the occurrence of one event doesn’t affect the probability of another

23
Q

statistically dependent

A

changes in result of another variable

24
Q

null hypothesis (H0)

A

assumed to be true until proven otherwise (being tested)

25
Q

alternative hypothesis (Ha)

A

accepted as true if H0 is disproved

26
Q

p-value

A

probability calculated from a test statistic that measures whether it is likely/unlikely

27
Q

small p-value

A

unlikely

28
Q

standard error of the mean

A

how different the population mean is likely to be from the sample mean