STATS Flashcards

1
Q

collection of methods for planning experiments

A

PROBABILITY

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2
Q

values that variables can assume

A

DATA

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3
Q

characteristics that observable or measurable in every unit of universe

A

VARIABLE

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4
Q

set of all possible values of a variable

A

POPULATION

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5
Q

subgrouo of a population

A

SAMPLE

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6
Q

words that represent class or category

A

QUALITIVE VARIABLE

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7
Q

number that represent any amount or count

A

QUANTITIVE VARIABLE

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8
Q

can be counted quantitive variables

A

DISCRETE VARIABLE

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9
Q

measures by assuming value or quantitive

A

CONTINUOUS VARIABLE

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10
Q

data consisting names or values

A

NOMINAL LEVEL

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11
Q

data arranged in some orders

A

ORDINAL LEVEL

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12
Q

uses for determining meaningful amount of differences

A

INTERVAL LEEVEL

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13
Q

interval level modified to include the inherent zero strating point

A

RATIO LEVEL

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14
Q

using chance or random numbers

A

RANDOM SAMPLING

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15
Q

done bynnumbering each subject of the population and then selecting nth number

A

SYSTEMATIC SAMPLING

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16
Q

intact groyup

A

CLUSTER SAMPLING

17
Q

average of the data

A

MEAN

18
Q

midpoint of the data

A

MEDIAN

19
Q

value that most often

A

MODE

20
Q

distance between largest and smallest data

A

RSANGE

21
Q

central tendency

A

MEAN
MEDIAN
MODE

22
Q

square of the standard deviation of teh data

A

VARIANCE

23
Q

how spread out numbers are

A

STANDARD DEVIATION

24
Q

Dispersion

A

RANGE
VARIANCE
STANDARD DEVIATION

25
Q

field of mathematics that deals with chance

A

PROBABILITY

26
Q

activity in which results cannt be oredicted with certainty

A

EXPERIMENT

27
Q

repetitn of experiment

A

TRIAL

28
Q

result of an experiment

A

OUTCOME

29
Q

,collection of outcomes

A

EVENT

30
Q

event with only one possible outcome

A

SIMPLE EVENT

31
Q

sets that contain all possible outcomes of the experiment

A

SAMPLE SPACE

32
Q

a numerically valued function defined over a sample spacwe

A

RANDOM VARIABLE

33
Q

can nly take a finite number of distinct values

A

DISCRETE RANDM VARIABLES

34
Q

infinite numbers or values in an interval between specific values

A

CONTINUOUS RANDOM VARIABLE

35
Q

lisitng of all possible values of discrete random variabke along their corresponding probabilities

A

DISCERETE PROBABILITY DISTRIBUTION

36
Q

mean of discrete random variabkes X

A

EXPECTED VALUE OF X

37
Q

how to get mean

A

VALUES ( X) TIMES pROBABILITY OUTCOME P(x) THEN ADD ALL

38
Q

how to get variance

A

SQUARE THE VALUES (X) THEN MULTIPLY TO p(X) ADD ALL THEN SUBTRACT MEAN SQUARED

39
Q

how to get standard deviation

A

SQUARE ROOT OF VARIANCE