Chapter 2 Terms Flashcards

1
Q

The collection of probabilities from the various outcomes possible in a situation

A

Event

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2
Q

Events that cannot occur simultaneously

A

Mutually exclusive events

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3
Q

Probability of an event occurring is 1 - the probability that the event will not occur

A

Compliment Rule

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4
Q

The symbol for the occurrence of something other than the event, A, in question

A

A^c

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5
Q

Symmetrical curve representing observed values relative to the mean

A

Standard Normal Distribution

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6
Q

Common term for Standard Normal Distribuiton

A

Bell-shaped Curve

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7
Q

Sum of the squared differences between values divided by the number of observations less 1 (n-1)

A

Variance

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8
Q

Square root of the variance represented by the symbol: theta

A

Standard Deviation

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9
Q

Central range within which 68.25% of values occur in a standard Normal distribution

A

+- 1 Standard Deviation

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10
Q

Central Range within which 95.44% of values occur in a standard Normal distribution

A

+- 2 Standard Deviation

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11
Q

Central Range within which 99.74% of values occur in a standard Normal Distribuion

A

+-3 Standard Deviation

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12
Q

Term defining increments of standard deviation located above or below the mean

A

z-score/z-value

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13
Q

Curve showing distribution values as non-symmetrical above/below the mean

A

Skewed Distribution

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14
Q

Curve in which the median is significantly different from the mean

A

Concentration of Values

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15
Q

Term referring to the distribution values above or below a given central portion of a distribuion

A

Tail

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16
Q

A value in a distribution that is substantially higher or lower than a defined central portion

A

Outlier

17
Q

The highest and lowest values in a distribution expressed in the units of the research subjects

A

Range

18
Q

Illustration comparing values of two variables that may be interrelated

A

Scatter plot or scatter diagram

19
Q

Computer-calculated plot or graph estimating the relationship between two variables

A

Trend Line

20
Q

Trend lines that model or forecast estimated values (past or future)using available data

A

Linear model

21
Q

A formal mathematical proof of the Law of Large Numbers

A

Central Limits Theorem

22
Q

Distribution of observed values in a sample often referred to as a “distribution”

A

Sampling Distribution

23
Q

Estimated standard deviation likely among multiple samples

A

Sampling Error or Standard Error

24
Q

Value of Sampling Error defining a range of variability relative to the selected confidence level

A

Margin of Error

25
Q

Most commonly used confidence level with a range of +- 1.96 standard deviation of the mean

A

95% Confidence Level

26
Q

At a 95% confidence level, Margin of Error defines the range of 95% of possible values

A

Common Margin of Error

27
Q

Pair of statements used to focus a research objective on two mutually exclusive outcomes

A

Hypothesis

28
Q

States the hope, fear, expectation or concern of the testing organization

A

Alternative Hypothesis (HA)

29
Q

States the negation or nullification of the Alternative Hypothesis

A

Null Hypothesis (H0)

30
Q

Discovery in subsequent study that preliminary acceptance of the (Ha) was inaccurate

A

Type I Error

31
Q

Discovery in subsequent study that preliminary acceptance of the Ho was inaccurate

A

Type II Error

32
Q

The proportion of the distribution outside the range of the selected confidence level

A

Alpha Level

33
Q

Another name for Alpha

A

Level of Significance

34
Q

The three mutually exclusive pairs of null and alternative hypotheses

A

Pairs of Hypotheses

35
Q

Tables used to approximate probabilities when standard deviation is unknown

A

T- Distribuions

36
Q

Value determined by subtracting 1 from the number of distribution observations

A

Degrees of Freedom