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BIOSTAT LEC > BSLEC 2 > Flashcards

BSLEC 2 Flashcards

1
Q

Statistical procedures used to organize, summarize, and simplify data.

A

Descriptive Statistics

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2
Q

Does not allow conclusions made beyond the data analyzed

A

Descriptive Statistics

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3
Q

Comes in Count, Frequency, and/or Percent

A

Measures of Frequency

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4
Q

Shows how frequent something occurs

A

Measures of Frequency

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5
Q

Comes in Mean, Median, and Mode

A

Measures of Central Tendency

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6
Q

Use when there is a need to show an average or the most commonly indicated response

A

Measures of Central Tendency

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7
Q

Comes in Range, Variance, and Standard Deviation

A

Measures of Dispersion or Variation

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8
Q

dentifies the spread of scores by stating intervals

A

Measures of Dispersion or Variation

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9
Q

dispersed or “spread out” the data are. It is helpful to know when your data are so spread out that it affects the mean.

A

Measures of Dispersion or Variation

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10
Q

Percentile ranks, Quartile Ranks

A

Measures of Position

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11
Q

Use this when you need to compare scores to a normalized score (e.g., a national norm)

A

Measures of Position

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12
Q

Use when there is a need to show how a response was given

A

Measures of Frequency

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13
Q

Statistical measure to determine a single score that defines the center of the distribution; the goal is to find the single score that is most typical or most representative of the entire group

A

Central Tendency

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14
Q

Concept of an average or representative score – usually attempts to identify the “average” or “typical” individual

A

Central Tendency

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15
Q

There is no single, standard procedure for determining central tendency.

A

Central Tendency

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16
Q

Arithmetic average

A

MEAN

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17
Q

Greek letter of mean

A

µ

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18
Q

Amount that each individual gets when the total is distributed equally

A

MEAN

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19
Q

Balance point of a distribution

A

MEAN

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20
Q

Goal: To locate the midpoint of the distribution

A

MEDIAN

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21
Q

Definition and computations for a sample and for a population are the identical

A

MEDIAN

22
Q

“customary fashion” or a “popular style”

A

MODE

23
Q

Same as median, has no symbols

A

MODE

24
Q

Same definition with sample and population mo

A

MODE

25
Q

Distribution with two modes

A

Bimodal

26
Q

Distribution with more than two modes

A

Multimodal

27
Q

Provides a quantitative measure of the differences between scores in a distribution and describes the degree to which the scores are spread out or clustered together

A

Variability

28
Q

Purpose of measuring variability

A

To obtain an objective measure of how the scores are spread out in a distribution

29
Q

Usually, variability is defined in terms of___

A

distance

30
Q

measures how well an individual score (or group of scores) represents the entire distribution.

A

Variability

31
Q

means specific method of estimation

A

Measure

32
Q

means deviation or difference of certain values from their central value

A

Dispersion

33
Q

Distance covered by the scores in a distribution, from the smallest score to the largest score

A

Range

34
Q

most obvious way to describe how spread out the scores are

A

Range

35
Q

Most commonly used

A

Standard Deviation

36
Q

Uses the mean of the distribution as reference point and measures variability by considering the distance between each score and the mean

A

Standard Deviation

37
Q

represents the rate of divergence from the mean in a date set and is used a lot in trading

A

Standard Deviation

38
Q

Measures the dispersion of set of data points around their mean

A

Variance

39
Q

square root of the variance and provides a measure of the standard, or average distance from the mean.

A

Standard deviation

40
Q

measure that indicates the extent to which the central 50% of values within the dataset are dispersed.

A

Interquartile Range

41
Q

same way that the median divides a dataset into two halves, it can be further divided into quarters by identifying the upper and lower quartiles.

A

Interquartile Range

42
Q

One quarter of the way along a dataset

A

Lower quartile

43
Q

lies halfway between the median and the highest value in the dataset

A

upper quartile

44
Q

found three quarters along the dataset

A

upper quartile

45
Q

lies halfway between the median

A

lower quartile

46
Q

provides a clearer picture of the overall dataset by removing/ignoring the outlying values.

A

interquartile range

47
Q

most important distribution. It describes well the distribution of random variables that arise in practice, such as the heights or weights of people,

A

normal distribution

48
Q

NORMAL DISTRIBUTION AKA ____

A

GAUSSIAN DISTRIBUTION

49
Q

However, even if the data are not known to be exactly normal, but are known to be bell shaped, then the exact results stated above will be approximately true.

A

empirical rule.

50
Q

An organized tabulation of the number of individuals located in each category on the scale of measurement

A

FREQUENCY DISTRIBUTION

BIOSTAT LEC (3 decks)

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